Area VII BioMedical Sciences and Engineering

The following list of faculty members and research staff includes primarily people whose principal research interests are in Area VII. There are others in the department who have some research activities in problems related to living systems, but who work primarily in other areas.

Elfar Adalsteinsson

Associate Professor, Harvard-MIT Division of Health Sciences and Technology, Department of Electrical Engineering and Computer Science
26-335, 617 324.3597,, Magnetic Resonance Imaging Group

  1. Medical imaging
  2. Acuqisition and processing of in vivo magnetic resonance imaging data
  3. Neuroimaging

Sangeeta Bhatia

John and Dorothy Wilson Professor, Harvard-MIT Division of Health Sciences and Technology, Department of Electrical Engineering and Computer Science
76-453, 617.253.0893,

Laboratory for Multiscale Regenerative Technologies:

The research in the Laboratory for Multiscale Regenerative Technologies, directed by Sangeeta Bhatia, is focused on the applications of micro- and nanotechnology to tissue repair and regeneration. Our long-term goals are to improve cellular therapies for liver disease, develop microtechnology tools to systematically study living cells, and design multifunctional nanoparticles for cancer applications.

Louis D. Braida

Professor or Electrical Engineering and Computer Science
36-747, 617 253.2575,

Development of improved hearing aids and aids for the deaf. Functional models of the perceptual effects of hearing impairment. Mathematical and computational models of speech intelligi bility and audiovisual integration. Development of aids to speechreading based on speech recognition and speech processing. Acoustic properties of speech and their relation to intelligibility in various environments.

  1. DSP implementation of a real-time hearing loss simulator based on dynamic expansion
  2. Intelligibility of conversational and clear speech in noise and reverberation for listeners with normal and impaired hearing
  3. Auditory supplements to speechreading: combining amplitude envelope cues from different spectral regions of speech
  4. Automatic speech recognition to aid the hearing impaired: current prospects for the automatic generation of cued speech
  5. Consistency among speech parameter vectors: application to predicting speech intelligibility

Dennis M. Freeman

Professor of Electrical Engineering
36-889, 617 253.8795,

Cochlear mechanics. Micro-Electro-Mechanical Systems (MEMS). Laser Interferometric Optics. Microfluidics.

  1. Measurements and models of sound-induced motions of inner-ear structures
  2. Measurememnts and models of material properties of the tectorial membrane
  3. Optical methods to measure nanometer motions of micrometer-sized structures
  4. Applications of mciro-electro-mechanical systems to the study of cochlear micromechanis

James G. Fujimoto

Professor of Electrical Engineering and Computer Science
36-345, 617 253.8528,

Biomedical optics, novel optical biomedical imaging and diagnostic techniques. Development and applications of Optical coherence tomography (OCT). OCT is an optical technique for cross sectional imaging of tissue microstructure on the micron scale which can perform micron scale imaging of tissue in situ. Development of new optical technologies for OCT including real time imaging, subcellular scale imaging, catheter/endoscopic delivery systems. Techniques for optical biopsy. Studies of laser tissue interaction and laser surgery. Collaborative research with investigators at the Harvard Medical School, Massachusetts General Hospital, the Brigham and Womens Hospital, the New England Eye Center, Tufts University School of Medicine

  1. Optical Coherence Tomography technology for high speed and high resolution imaging.
  2. Development of catheter and endoscopic diagnostic techniques
  3. Intravascular imaging for atherosclerotic plaque
  4. Cancer diagnosis and screening using optical coherence tomography
  5. Image guided laser microsurgery
  6. Image processing, reconstruction, and intelligent algorithms
  7. Ophthalmic applications of optical coherence tomography
  8. Retinal disease diagnosis using novel optical imaging techniques algorithms

Polina Golland

Associate Professor Electrical Engineering and Computer Science

One of my current interests is developing computational methods for modeling the relationship between anatomy and function, particularly in application to neuroimaging. Examples include using anatomical information to improve modeling and detection of functional areas, anatomically-motivated representations of functional co-activation and others.

Martha L. Gray

J. W. Kieckhefer Professor of Medical and Electrical Engineering, HST, EECS
E25-406, 617 258.8974,

Cartilage repair and remodeling. Role of mechanical factors in cartilage physiology; development of 'functional' imaging of cartilage.

  1. Molecular imaging of cartilage
  2. Composition and transport properties of connective tissues in vivo and in vitro, and how these properties are affected by disease
  3. Understanding thge process of cartilage repair and evaluating related treatment strategies
  4. Microscale devices for biomedical applications

Alan J. Grodzinsky

Director, Center for Biomedical Engineering, MIT, Professor of Electrical, Mechanical, and Biological Engineering in EECS, BE and MechE
NE47-377, 617 253.4969,

Degeneration and repair of cartilage in injured and arthritic joints, cellular mechanotransduction, molecular and cellular nano-mechanics, stem cells for cartilage tissue engineering; the influence of physical forces on gene expression and matrix biosynthesis in musculoskeletal connective tissues, transport in biological tissues and synthetic gels; nondestructive spectroscopic detection of early cartilage degeneration.

  1. Cartilage metabolism in health and disease: role of mechanical, electrical, and chemical regulation of gene expression, matrix sythesis, and cellular apoptosis
  2. Cartilage Tissue Engineering: Synthesis of a cartilage-like tissue substitute by stem cells embedded in self-assembling peptide hydrogel scaffolds
  3. Molecular and Cellular Nano-Mechanics: Use of atomic force microscopy to quantify molecular interaction forces between extracellular matrix macromolecules; nanoindentation of chondrocytes and their pericellular matrices
  4. Cartilage mechanical injury: synergistic effects of overload injury and catabolic cytokines on stimulation of cartilage degeneration
  5. Mechanical loading and peptide growth factors: anabolic stimluation of cartilage growth and repair
  6. Role of proteinases, proteinase inhibitors, and mechanical loading in osteroarthritic cartilage degeneration
  7. Electrochemical, electromechanical and osmotic forces and flows: enhanced transport of proteins and nutrients in charged tissues and membranes

John Guttag

Professor of Electrical Engineering and Computer Science
32-G966, 617 253.6022,

Physiological monitoring, medical signal processing and decision systems. Collaborative research with investigators at Massachusetts General Hospital, Boston Children's Hospital, the Brigham and Women's Hospital and the Beth Israel Deaconess Medical Center.

  1. Monitoring health status outside medical environments
  2. Computer-assisted cardiac screening
  3. Early detection of epileptic seizures
  4. Scalable and portable medical alert and response technology

Jongyoon Han

Associate Professor of Electrical Engineering and Computer Science and Division of Biological Engineering, Research Laboratory of Electronics
36-841, 617 253.2290,, Micro/Nanofluidic BioMEMS Group

Application of micro/nanofabrication technology to biological problems. Micro/Nanofluidics, biomolecule analysis and separation. Nanostructure-biomolecule interaction.

  1. Development of novel nanofluidic molecular sieve
  2. Microfluidic multi-dimensional biomolecule separation devices
  3. Biomolecule detection and identification

Tim Lu

Assistant Professor in the Department of Electrical Engineering and Computer Science and an Associate Member of the Broad Institute of MIT and Harvard, Synthetic Biology Group

The Synthetic Biology Group is focused on advancing fundamental designs and applications for synthetic biology. Using principles inspired by electrical engineering and computer science, we are developing new techniques for constructing, probing, modulating, and modeling engineered biological circuits. Our current application areas include infectious diseases, amyloid-associated conditions, and nanotechnology.

Roger G. Mark

Distinguished Professor in Health Sciences and Technology and Electrical Engineering and Computer Science, MIT
E25-505, 617 253.7818,

Physiological signal processing and computational modelling with application to clinical problems.

  1. Intelligent patient monitoring systems
  2. Multiparameter ICU databases; collection, deidentification and annotation
  3. Physiological signal processing
  4. Cardiovascular system modeling

Rahul Sarpeshkar

Associate Professor of Electrical Engineering, Research Laboratory of Electronics 38-294, 617 258.6599,

Bioelectronics: biomedical and bio-inspired electronics (electronics inspired by cell biology or neurobiology). Ultra low power, ultra miniature, and ultra energy efficient circuits and systems. Medical implants for the deaf, blind, paralyzed, cardiac, and other applications. Brain-machine interfaces. Systems biology, synthetic biology, and analog circuit design of molecular and cellular circuits.
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Charles Sodini

Professor of Electrical Engineering

Professor Sodini's group is exploring novel integrated technology, device physics, and circuit design, and its application to specific microsystems including medical electronic systems for monitoring and imaging. The requirements of the systems dictate the areas in which innovation must take place. This approach allows students to understand and play a role in the big picture while simultaneously concentrating on specific innovation in a tightly focused project. The program is a fertile ground for students to learn and appreciate the importance of breadth across many disciplines for systems optimization as well as depth in their particular project. These students will be prepared for the broad challenges that microelectronic technology will face in the 21st century.

Collin M. Stultz

W. M. Keck Associate Professor of Biomedical Engineering, Department of Electrical Engineering and Computer Science and Associate Professor of Health Sciences and Technology, Harvard-MIT Division of Health Sciences and Technology
36-796, 617 253.4961,, Computational Biophysics Group

Research in the computational biophysics laboratory is focused on understanding conformational changes in biomolecules that play an important role in common human diseases. Our lab uses an interdisciplinary approach combining computational modeling with biochemical experiments to make connections between conformational changes in macromolecules and disease progression. By employing two types of modeling, molecular dynamics and probabilistic modeling, hypotheses can be developed and then tested experimentally.

Peter Szolovits

Professor of Computer Science and Engineering and head of the Clinical Decision-Making Group within CSAIL
32-254, 617 253.3476,

Artificial Intelligence methods of medical decision making, knowledge representation, medical language understanding, clinical decision support systems, lifelong medical records, integration of clinical and research data for learning new medicine.

  1. De-identification of sensitive private medical data
  2. Extraction of meaning from clinical notes
  3. Knowledge, corpus and taxonomy-based representation of medical facts and data
  4. Qualitative modeling of pathophysiological processes
  5. Diagnostic and therapeutic reasoning
  6. Learning from non-systematic data

Bruce Tidor

Professor of Biological Engineering and Computer Science; EECS, BE, CSAIL, CSBi
32-212, 617 253.7258,

Computational modeling of biological systems; computer-aided drug and protein design; biological network modeling, analysis, and design; computer algorithms and numerical techniques for solving biological problems; optimization and design strategies; biological signal transduction; systems biology.

George Verghese

Professor of Electrical Engineering
MacVicar Faculty Fellow, Computational Physiology and Clinical Inference Group

The Computational Physiology and Clinical Inference Group develops and applies computational models of human physiology for clinical monitoring and inference.
Our current research focuses on cardiovascular, cerebrovascular, respiratory and neurological applications.

Joel Voldman

Associate Professor of Electrical Engineering, Department of Electrical Engineering and Computer Science, Principal Investigator, Research Laboratory of Electronics
36-824, 617.253.2094,, Biological Microtechnology and BioMEMS Group

Application of microfabrication technology to biology, especially to cell biology. We design, fabricate, and characterize microdevices that interface with living cells, from bacteria to mammalian cells. Examples include devices to actively place and manipulate cells for novel cell assays and microsystem for quantitative analysis of cell phenotype.

Ron Weiss

Associate Professor of Electrical and Bioengineering Depts. of Electrical Engineering and Computer Science and Biological Engineering, Principal Investigator, Computer Science and Artificial Intelligence Lab, CSAIL
32-214; E17-350 617 253-8966, 617 715-4150,

Synthetic biology. Construction and analysis of synthetic gene networks. Use of computer engineering principles of abstraction, composition, and interface specifications to program cells with sensors and actuators precisely controlled by analog and digital logic circuitry. Emphasis on establishing the engineering foundation for synthetic biology and the pursuit of novel applications enabled by the technology (e.g. programmed tissue engineering, diabetes, engineered neuronal circuits).

Mehmet Fatih Yanik

Associate Professor of Electrical Engineering, Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Biological Engineering, CSBI
36-834, 617 253.1583,

Dr. Yanik's group is working on development and applications of technologies for studying and engineering neural processes. Both in vivo and in vitro neural regeneration and degeneration is being studied by femtosecond laser nano-surgery and multi-photon imaging as well as microfluidic in vitro and in vivo high-throughput screening technologies using the model organism C. elegans, primary mammalian neurons as well as human embryonic stem cell derived neurons. Other problems being investigated include three dimensional neural scaffolds, and sub-diffraction-limit imaging.

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Image from the STIR group