Principal Investigator

Brian Anthony

– Principal Research Scientist
– Director, Master of Engineering in Manufacturing Program
– Associate Director, MIT nano
– Co-Director, Medical Electronic Device Realization Center (MEDRC)
– Group Lead, Device Realization, Computational Instrumentation@MIT
– Mechanical Engineering
– Institute for Medical Engineering & Science (IMES)

Dr. Anthony is the Co-Director of MIT’s Medical Electronic Device Realization Center and Associate Director of MIT.nano. With over 25 years of experience in product realization, Dr. Anthony designs instruments and techniques to monitor and control physical systems. His work involves systems analysis and design, calling upon mechanical, electrical and optical engineering, along with computer science and optimization.

He has extensive experience in market-driven technology innovation, product realization, and entrepreneurship and commercialization at the intersection between information technology, design, and advanced manufacturing. Dr. Anthony spent the first part of his career as an entrepreneur. He developed and directed the development of products and solutions for the industrial and scientific video markets. He has been awarded 20 patents, published over 50 peer-reviewed articles, and won an Emmy from the Academy of Television Arts and Sciences for innovations in sports broadcasting.

Administrative Assistant

Samantha Young

Final - Samantha Young
samyoung _at_
About me

Bio: I have been at MIT for 7 years. Prior to MIT I worked in the corporate world for an accounting firm.
I started my career at MIT in 2013 working for the MIT Skoltech Initiative (a Russian collaboration program). Brian Anthony was the director of education for the program and I was hired to be his administrative assistant. When the program disbanded in 2015, I stayed with Brian and continued on as his assistant to his academic position and Associate Director of MIT.nano as well as assistant to his lab. I am so happy to be working in such a great place with an amazing group of smart, interesting, talented people.

Research Scientists and Post-Doctorates

Kai Thomenius

Final - Kai Thomenius
ket _at_

Micha Feigin

Final - Micha Feigin
michaf _at_
About me

Research Interests: Micha Feigin-Almon’s current work focuses mainly on inverse problems for medical ultrasound and seismic imaging. He develops variational and deep learning methods for the recovery of elastic and viscoelastic properties and non-linearities for both biological tissue and underground structures.

He is also working on developing non-linear signal processing technologies for high resolution and computationally efficient thin layer detection and sound speed information extraction from RF data and channel data from acoustic and seismic sources.

Bio: Micha Feigin-Almon is currently working as a research scientist at the Department of Mechanical engineering as well as the institute of medical engineering and science (IMES) at MIT; Working on inverse problems, deep learning and computer vision technologies for medical ultrasound imaging.

Previously, Micha held a postdoctoral position with the Camera Culture group at the MIT media lab, developing technologies for optical time of flight, RADAR and acoustic imaging.

He earned his Ph.D and M.Sc (Cum Laude) in applied mathematics from the school of mathematical sciences at the Tel-Aviv university in Israel, working on inverse problems and computer vision in medical imaging and optics.

In between, Micha has spent several years in the industry. His work included developing perturbation methods, inversion algorithms and sparsity based method for silicon level industrial inspection. He acted as chief architect, developing optimized GPU based computer vision algorithms and targeted courses on CUDA and GPU computing. He also worked as a computer vision algorithm consultant in the fields of medical, defense and industrial inspection.

Xiang Zhang

Final - Xiang Zhang
xzhang88 _at_
About me

Research interests: Machine Design; Medical Devices; Robotics & Controls; Mechatronics

Bio: Xiang (Shawn) Zhang received his undergraduate degree in Mechanical Engineering at the University of Maryland-College Park (UMCP); during which he completed a co-op at National Institute of Standards and Technology (NIST). At NIST, his projects included: mechanical design for the NIST-4 Watt Balance to redefine the SI kilogram and design of the Lego Watt Balance. Shawn completed his Master’s and and Ph.D. in Mechanical Engineering at MIT, advised by Dr. Brian Anthony. His research focuses on design of electromechanical systems to enhance medical ultrasound; 3D tomographic ultrasound for tissue property characterization, and non-contact laser ultrasound.​ Outside of research, Shawn was a mentor at MIT MakerWorkshop and a team lead for MIT Hyperloop. Currently, Shawn is continuing his research as a Postdoc and Lab Manager with Dr. Brian Anthony with specific focus on laser ultrasound.

Graduate Students

Lauren Chai

Final - Lauren Chai
chail _at_
About me

Research Interests: Smart manufacturing

Bio: Lauren Chai is a Ph.D. candidate in Mechanical Engineering at MIT. She grew up in Jamaica and earned her SB and SM in Mechanical Engineering at MIT. Her current research is the application of acoustic radiation forces for high-throughput non-contact assembly and manufacture of multi-material fibers. Outside of the lab, she enjoys being outside and puzzles especially of the mechanical variety.

Arjun Chandar

Arjun Chandar.jpg
achandar _at_
About me

Research Interests: Smart manufacturing adoption, workforce education

Bio: Arjun received his BS in Mechanical Engineering and Business, Economics and Management at Caltech and completed his MEng in Advanced Manufacturing at MIT in 2014. He worked as an operations engineer performing continuous improvement initiatives for production and supply chains at Meggitt, and then served as Director of Operations and Hardware at NVBOTS, an enterprise 3D printing startup in Boston acquired by Cincinnati Incorporated in 2017. His interests are in the proliferation of advanced and smart manufacturing techniques within industrial organizations, and in investigating how workforces, particularly at small and medium-sized enterprises, can be better trained and incentivized to adopt these techniques. Arjun grew up in Miami, and outside of MIT, he enjoys both playing and watching sports, basketball in particular.

Melinda Chen

Final - Melinda Chen
melindac _at_
About me

Research Interests: Melinda’s research focuses on using ultrasound techniques to monitor and quantify liver health. She works on quantifying the microcirculation in ex vivo livers, which is important for determining donor liver health prior to transplantation. Contrast-enhanced ultrasound techniques are used to observe and analyze blood flow in the liver. She is also developing a method for longitudinal monitoring of patient livers for early identification of liver diseases such as non-alcoholic fatty liver disease and liver tumors. Because the liver is a soft tissue, there is much difficulty in aligning liver scans taken at different time points. She aims to use the liver vasculature as a stable reference point for aligning liver scans.

Bio: Prior to joining Dr. Brian Anthony’s lab, Melinda received her BS in Biomedical Engineering from the Johns Hopkins University. She previously conducted research in synthetic biology, where she helped to create tools for elucidating biological pathways at the cellular level. As part of her undergraduate studies, she worked on several design teams to develop medical devices: a flexible and rigid catheter for platinum coil embolization procedures, a 3-patch system for use in cardioversion and defibrillation, and a wearable device for monitoring patients at risk for sudden cardiac arrest. Melinda is currently pursuing her PhD degree in Medical Engineering, Medical Physics as part of the Health Sciences, and Technology (HST) program. Outside the lab, Melinda enjoys baking, pub trivia, and playing badminton and squash.

Sammy Cherna

cherna _at_
About me

Research Interests: Signal processing, real-time beamforming, imaging algorithms

Bio: Sammy is a master’s student in Electrical Engineering and Computer Science. He received his BS in Electrical Engineering and Computer Science from MIT in 2020. His current research is focused on creating a portable, cost-effective, real-time system for conducting shear-wave elastography. The elastography system will be used in conjunction with ultrasound imaging in order to acquire significant diagnostic information. In his undergraduate program, Sammy focused on signal processing and utilizing FPGAs for accelerated computation. He also interned at Butterfly Network, where he worked on novel beamforming algorithms for their portable ultrasound probe. In his free time, Sammy loves playing board games, brewing coffee, and listening to new music (although nothing beats his all-time favorites, The Beatles and Radiohead). Most recently, he has gotten addicted to chess and has found a new love for cooking and cocktail mixing.

Ani Deshpande

ani0203 _at_
About me

Research Interests: My research interests are in applied probability, machine learning and signal processing. I’m interested to learn and develop the theoretical underpinnings of machine learning algorithms as well as apply these algorithms to real-world data. As a technology and policy student I’m also keen to study the real-world impacts and policy implications of deploying AI algorithms in the world, their potential downfalls and how we can avoid the worst possible outcomes.

Bio: I’m a graduate student in the Technology and Policy program at MIT. Before coming here I did my undergraduate in Electrical engineering with a focus on communication and signal processing from the Indian Institute of Technology, Bombay. I’ll be working on video analysis techniques applied in a number of different contexts. In the past I’ve also worked on source separation on audio data, specifically Indian classical music. In my free time I like to play the guitar, watch and play football, play video games and going on pretty walks.

Ivan Goryachev

ivang _at_
About me

Research Interests: Medical devices, haptics, robotics

Bio: Ivan is an S.M. student in Mechanical Engineering at MIT, with a BSME from Northeastern. Prior to joining MIT, Ivan worked at design firms and Tesla, and most recently was part of the founding team at Sparx Hockey. He has experience in machine design, manufacturing, and industrial design. In his free time he enjoys outdoor sports, gymnastics, and re-learning piano.

Katie Hahm

Katie IMG_20200205_081835
khahm _at_
About me

Research Interests: Medical devices, haptics, robotics

Bio: Katie is a Ph.D. Candidate in Mechanical Engineering. Katie graduated from Stanford University with a B.S. in Mechanical Engineering. She received her Master’s in Mechanical Engineering at MIT working with the d’Arbeloff Laboratory where she worked on supernumerary robotic limbs for near floor work. She is currently working on smart home sensing for accelerated medical response through interactions with the floor. In her spare time, she likes to climb and hike.

Alex Jaffe

jaffea _at_
About me

Research Interests: Medical Ultrasound Imaging, Digital Signal Processing of Biomedical Signals, Biomedical Sensors. Force-coupled ultrasound is an ultrasound probe attachment and postprocessing method which allows one to observe the applied force by the ultrasound probe for each frame of an ultrasound image stack. Specifically for superficial blood vessels, this method gives us the ability to observe the deformation of the blood vessel as a function of applied force. Given these observations, we can create a model to solve for the stiffness and pressure parameters of the blood vessel causing such deformations. The overall goal of my project is to accurately model lumen pressure and wall stiffness for superficial blood vessels in a physiologically valid way given a force-coupled ultrasound image stack input. My hope is for this model to allow clinicians to noninvasively and accurately obtain important clinical parameters which previously necessitated more invasive and more costly methods.

Bio: I’m a fourth-year EECS graduate student and an eighth-year MIT student, having started in the Device Realization Lab as a Ph.D. student in Fall 2018. My research focuses on developing physiologically accurate models of major superficial blood vessels and surrounding tissues in the human body by means of force-coupled ultrasound imaging. In my spare time, I enjoy spending time with my friends and family, skiing, hiking, ball sports, string instruments, and philosophizing.

Sangwoon Kim

Final - Sangwoon Kim
sangwoon _at_
About me

Research Interests: Process Control, Smart Manufacturing, Numerical Modeling/Simulation. The development of a control system is important for maintaining a good quality of products. One of the important requirements for a proper control system is that it can regulate the output variables to the desired reference trajectory. Model-free control methods such as PID feedback control can be used for simple systems, but more advanced controllers like Model Predictive Control (MPC) requires an accurate model of the system to ensure control performance. However, many of the manufacturing processes are hard to be modeled analytically because it involves complicated dynamics due to chemical reaction, mass/heat transfer, vibration, etc. Our goal is to develop a data-driven controller that is capable of controlling complicated manufacturing processes, while not requiring any prior model of the system. We use various machine learning and reinforcement learning technologies to achieve the goal.

Bio: Sangwoon is currently a Master’s student in Mechanical Engineering at MIT. He received his Bachelor’s degree in Mechanical and Aerospace Engineering at Seoul National University. He is currently focusing on intelligent control of manufacturing processes using various machine learning and reinforcement learning technologies. Outside of the lab, he usually spends his leisure time swimming and going to indie rock concerts.

Ryan Koeppen

Ryan IMG_4755
rkoeppen _at_
About me

Research Interests: Medical Devices; Electromechanical Systems; Compact Machine Design; Diagnostic Ultrasound

Bio: Ryan is a master’s student in mechanical engineering. He received his BS in Mechanical Engineering in 2019 from MIT. His current research is focused on designing machines for non-contact ultrasound imaging. His undergraduate research involved designing a medical robotic for medication delivery in the gastrointestinal tract. He has also worked as a mechanical design intern for Philips where he helped design commercial ultrasound systems.

Yuwei Li

Final - Yuwei Li
liyuwei _at_
About me

Research Interests: Augmented/virtual reality; Product design; Human-computer interaction; Art; Bioengineering; Cognition; Sensors; Interfaces; Localization; Haptic feedback

Bio: Prior to joining the Device Realization Laboratory at MIT, Yuwei received her B.S.E. from University of Michigan, Ann Arbor, and S.M. from MIT, both in mechanical engineering. At the University of Michigan, she conducted her research on micro/nano-fluidic devices, where she assisted with developing and manufacturing nanoplasmonic biosensor microarrays for monitoring the change of human immune status. For her S.M. degree, Yuwei focused on developing computational models of the three-piece oil control ring in internal combustion engines. Yuwei is currently a Ph.D. candidate and her research focuses on developing methods to measure and enhance presence in virtual reality (VR). She is particularly interested in the VR user’s physiological and behavioral responses in immersive environments and developing haptic feedback solutions to enhance presence in VR. Outside of lab, Yuwei is passionate at drawing, especially watercolor and sketching. Some of Yuwei’s art work can be found on her website.

QiAn Lin

qalin _at_
About me

Research Interests: Haptics, robotics, graphics

Bio: Qian Lin is currently a SM candidate in Mechanical Engineering at MIT. She received her Bachelor in Mechanical Engineering in 2020 at Tsinghua University, China, with a minor degree in Computer Science. She is currently working on squishy speed of sound (SOS) volume SLAM with ultrasound probe. Outside the lab, she likes swimming and learning new musical instruments.

Jenny Wang

Final - Jenny Wang
jy_wang _at_
About me

Research interests: dynamics, acoustic radiation force, numerical modeling. Jenny’s research uses sound waves to move small spherical objects. She then tracks the movement of these spheres to study the absolute magnitude of the acoustic radiation force. Currently, she is focusing on methods to create more complex and non-uniform patterns without increasing the hardware complexity of the devices. Her work could lead to new ways to characterize acoustic transducers or enable smart manufacturing of products with embedded functional materials.

Bio: Jenny Wang received her Bachelor of Science in Mechanical Engineering from Caltech in 2011, and is a PhD candidate in Mechanical Engineering at MIT. She has experience on a variety of research topics ranging from lithium-ion batteries to molecular modeling, but currently works at the intersection of fluid dynamics and nonlinear acoustics.

Zhuorui Zhang

zhuoruiz _at_
About me

Research Interests: Applying data science to human health-related problems by enabling new tools that monitor the human body and potentially interface it with machines.

Bio: Zhuorui is currently working with Dr. Brian Anthony and Prof. Elazer Edelman on intelligentizing devices via data science to enable better ergonomic/cognition monitoring. Before joining MIT, Zhuorui was working with materials and devices for soft electronics. Zhuorei enjoys reading, programming, and traveling.

Rebecca Zubajlo

rzubajlo _at_
About me

Research Interests:



Greg Ely

Final - Greg Ely
About me

Research Interests: His research focuses on applying techniques from seismology to medical ultrasound and uncertainty quantification in imaging problems.

Bio: Gregory Tsiang Ely is a postdoc in the Device Realization Laboratory at MIT. He holds a PhD from MIT’s Earth, Atmospheric, and Planetary Science (EAPS). He worked with Professor Alison Malcolm on applications of global optimization methods for seismic imaging and using Bayesian inference to quantity uncertainty of seismic velocity model.
Previously, he has researched applications of stochastic and sparse signal processing to inverse problems at Tufts University in collaboration with professor Shuchin Aeron, extending a number of techniques for matrix completion to higher order tensors. He developed data analysis algorithms for gravitational wave detection with the LIGO consortium, and worked on several infrared remote sensing projects and radar tracking algorithms through MIT Lincoln Laboratory. Website

Alex Benjamin

About me

Research Interests: 3D Ultrasound; SLAM; Inverse Problems; Applied Math; Computational Mechanics.

Bio: Alex is a 5th year PhD student majoring in Mechanical Engineering and Computational Science and Engineering. His work lies at the intersection of acoustics, ultrasound imaging, inverse problems, computer vision and robotics.

Anne Pigula

Pigula IMG_1041
About me

Research Interests: Anne works in the field of statistical quantitative ultrasound, particularly focusing on implementation and interpretation of the homodyned K-distribution for tissue characterization applications.

Bio: Anne is a Ph.D. candidate in the Harvard-MIT Program for Health Sciences and Technology (HST). She received her B.S. in Biomedical Engineering from the Johns Hopkins University and her M.Res. in Medical Robotics and Image-Guided Intervention from Imperial College London. Outside of work, she enjoys reading, running, and knitting.

Robin Singh

About me

Research Interests: Integrated Photonics, Nanotechnology, Biosensing, Point-of-care Diagnosis

Bio: Robin Singh received his Bachelor of Technology (B.Tech.) in Mechanical Engineering (’16) from National Institute of Technology Karnataka, India. During his undergraduate, he worked on MEMS-based ultrasonic devices as a visiting student at Stanford University and Indian Insitute of Science. Following that, he secured his S.M. (’18) in Mechanical Engineering at MIT and is currently pursuing his Ph.D. His research is focused on utilizing the integrated photonic platform for various biosensing applications.

Yasmin Chavez

Final - Yasmin Chavez
About me

Research Interests: Mechanical Design, Assistive Technology, Robotics, Human-Robot Interaction, Medical Devices, Controls, Mechatronics

Bio: Yasmin is an S.M. candidate in Mechanical Engineering at MIT. She received her undergraduate degree in Mechanical Engineering from MIT as well. Her current research is focused on the system identification and control of a miniaturized external mechanical vibration shear wave elastography ultrasound probe. In addition to her research, she is a mentor at MIT MakerWorkshop and a Peer Career Advisor for the Career Advising & Professional Development office. Portfolio

David Kim

Final - David Kim
ddhkim _at_
About me

Research Interests: Manufacturing, Mechanical Design, Mechatronics and Feedback Control

Bio: David is a Research Specialist in the Department of Mechanical Engineering at MIT. He graduated from the University of Waterloo with a Bachelor of Applied Sciences in Mechanical Engineering and Management Science Option with Distinction and Dean’s Honours List in 2013. He completed his Master of Science (2015) and Ph.D. (2020) from MIT. Before arriving at MIT, David served in the manufacturing industry for two years specializing in 5-Axis CNC Milling. He started his graduate studies at MIT developing robotic systems for gas and water pipe inspection. Outside research, David expanded his research interest to mechanical design as one of the inventors for the world’s first ice cream 3D printer. In 2015, David joined the Device Realization and Computational Instrumentation Laboratory, where he started his research on fiber and fabric manufacturing. He now specializes in developing novel manufacturing systems for fiber and fabric. Also, David is interested in Data Analytics and Machine Learning in the implementation of Smart Manufacturing.​​


Shirley Lu

Final - Shirley Lu
About me

Research Interests: Mechanical Design, Manufacturing/Fabrication, Data Science. I am working on the design of a dynamically controlled desktop fiber accumulator with tension feedback, named WiLMA, as part of a smart manufacturing educational kit. WiLMA uses a modified PI controller with a spring-loaded tensioner to provide feedback since tension is an important parameter that affects the functionality of yarn or optical fibers, for example. Specifically, WiLMA is intended to act as a buffer between FrED (fiber extrusion device) and the fabric machine, both of which are developed by David Kim, fellow lab member, for his doctoral research. A buffer is necessary because FrED outputs fiber at a constant rate while the fabric machine takes up fiber in a stop-and-go fashion.

Bio: Shirley Lu is an S.M. candidate in Mechanical Engineering at MIT. She received her B.S. in Mechanical Engineering at MIT. During her undergrad, she took part in the Solar Electric Vehicle Team, the Formula SAE Racecar Team as well as the Sport Pistol Club. Her past internships were in the areas of data-driven design for reliability (specifically accelerated vibration testing) and manufacturing/production support.

Holly Chen

Final - Holly Chen.jpeg
About me

Research Interests: medical device design, various imaging modalities, mechatronics and mechanical design, assistive technology.

Bio: Holly is a master’s student at MIT, from both mechanical engineering department and the Integrated Design and Management (IDM) program. She obtained her undergraduate degree in mechanical engineering from Worcester Polytechnic Institute (WPI), with a minor in manufacturing engineering. She has work and research experience at Stanley Black and Deck, Apple and PathAI. The project she is working at the Device Realization lab involves using near-infrared imaging for skin imaging with possible application in skin perfusion and vein registration.

Bruce Shin

Final - Bruce Shin
About me

Research Interests: His current research focuses on volumetric ultrasound tomography using full waveform inversion method and computational bio-imaging techniques for low-cost ultrasound elastography. His research interests cover multibody dynamics, robot control, vision and sensor fusion, and ultrasound imaging.

Bio: Bonghun (Bruce) Shin received his B.Sc. and M.Sc. in mechanical engineering from Pusan Nation University, South Korea, in 1997 and 2003, respectively. With 13 years industrial experience at OTIS elevator company and Samsung Heavy industries, he designed and developed building equipment like escalator and elevator systems, factory automation for the shipbuilding industry, and large wind turbine systems (2.5MW). In 2010, he immigrated to Canada and received his M.A.Sc. and the Ph.D. degree in mechanical and mechatronic engineering from the University of Waterloo in 2013 and 2017, respectively. In 2018, he has joined Device Realization Computation Instrumentation group in MIT as a postdoctoral fellow.

Judy Beaudoin

Final - Judy Beaudoin

About me

Research Interests: I’m interested in mechanical design, medical devices, and the intersection of clinician and patient-centered design with innovative technologies. My research focuses on making ultrasound measurements of skin thickness more reliable and repeatable through controlled probe position and pressure, volumetric imaging, and automatic segmentation.

Bio: I’m a second-year master’s student in the mechanical engineering department. I graduated from the University of Maryland with a BS in Mechanical Engineering. Outside of the lab, I enjoy running, rock climbing, skiing, and any excuse to explore outside.

Ina Kundu Benjamin

Final - Ina Kundu

About me

Research Interests: Ina’s research work focused on designing and developing imaging systems to observe and quantify skin features for assessing overall health and using the skin as a body-relative position-encoding system. Near infrared (NIR) and visible spectrum modalities were incorporated into ergonomic and portable medical devices to image the human body. Collaborating with clinicians, the devices were designed to meet clinical needs and technical requirements. The acquired images were then analyzed with algorithms custom developed in Matlab, LabView, and other third party software.

Bio: Ina graduated from Dr. Brian Anthony’s lab with a PhD in Mechanical Engineering. Before receiving her S.M. and PhD from MIT, Ina received her BS in Math and Mechanical Engineering from the University of Arizona. She is interested in using technology to advance the medical field. Working with Dr. Anthony, she designed and prototyped a device that images the body for a variety of applications, ranging from the medical industry to the world of cosmetics. Ina is active in the campus community, holding leadership positions in the Muddy Charles Board of Governors, Global Startup Workshop (GSW), Graduate Student Council (GSC), Graduate Association of Mechanical Engineers (GAME), and in her residential dorm (Ashdown).

Bryan Ranger

Final - Bryan Ranger

About me

Research Interests: Ultrasonic imaging methods for quantitative musculoskeletal tissue assessment and improved prosthetic interface design

Bio: Bryan is a Ph.D. candidate in Medical Engineering and Medical Physics in the Harvard-MIT Program in Health Sciences and Technology. He holds an M.S.E. and B.S.E. in Biomedical Engineering from the University of Michigan. His graduate research focuses on developing ultrasound limb imaging technology to facilitate the design and fabrication of prosthetic interfaces. Bryan is also an instructor at the MIT D-Lab where he co-teaches ‘Prosthetics for the Developing World’. Prior to MIT, Bryan performed research in ultrasound tomography at the Karmanos Cancer Institute and Delphinus Medical Technologies. Additionally, he has a long-standing interest in international development and cost-effective healthcare innovation, having worked on global health initiatives in Zambia, Uganda, Kenya, India, the WHO, and USAID.

Mingxiu Sun

Sun - Pic-square
About me

Research Interests: Advanced manufacturing, Factory Operation, Product Development and Release

Bio: I graduated with a Bachelors’ Degree from the University of Illinois Urbana-Champaign. Worked in the semiconductor industry for two years before arriving at MIT. I joined Prof. Brian Anthony on the creation of the Education Packaging Factory. It’s a project which involves factory planning, manufacturing design, product development, and production ramp-up. I have now wrapped up this project, and am about to start my Ph.D. venture.

Heng Yang

Final - Hank Yang

About me

Research interests: Ultrasound shear wave elastography; Control/Robotics; Motion planning; Reinforcement learning

Bio: Heng (Hank) Yang is a PhD candidate in Mechanical Engineering. He holds an SM in Mechanical Engineering from MIT and a BS in Automotive Engineering from Tsinghua University, Beijing, China. Prior to joining MIT, Hank has done biomechanics projects on studying and modelling the drinking strategy of a honeybee and the flying pattern of a beetle. Hank has interned at Tesla as a system integration engineer for Model 3 low voltage electronics system. His current research focuses on developing a low-cost and portable ultrasound system in collaboration with Philips that implements shear wave elastography using external mechanical vibration. Besides ultrasonic research, Hank has also worked on building a low-cost robotic manipulation platform and controlling a hybrid UAV that transforms between a quadcopter and a fixed-wing aircraft. Website

Henry Cheung

About me

Research interests: Henry is currently developing and validating an ultrasound probe for a breast cancer procedure in conjunction with clinicians at Massachusetts General Hospital. He is interested in exploring novel sensor modalities and form factors for medical devices.

Bio: Henry is an undergraduate MIT student interested in creating new medical devices. In high school, he conducted research on pancreatic and kidney cancer metastasis mechanisms. During his time at MIT, he has worked on developing better educational platforms, from coding at the Media Lab to maker trainings at MakerLodge. Most recently, he has been developing a novel conformable sensor array for on-body sensing in the Conformable Decoders group in the Media Lab.