LiveNet
My Ph.D thesis research focuses on using wearable technology for non-invasive physiological and contextual ambulatory/wearable sensing, proactive real-time health monitoring and classification, long-term continuous physiological behavior trending, and distributed healthcare applications involving the sharing of physiological information among peer groups.

LiveNet is a flexible distributed mobile system that can be used for practical long-term continuous monitoring applications to identify physiological and behavioral trends that vary slowly with time. The system also allow people to receive real-time feedback regarding their continuously monitored and analyzed health state, as well as communicate health information with care-givers and other members of an individual's social network for support and interaction.

The system allows for the rapid prototyping of a variety of distributed, group-based applications and is capable of real-time data streaming, complex data processing and classification, and a variety of interaction modalities. This technology recently won the Most Visionary Technology Award at the MIT Enterprise Forum's 25th Annual Technology Conference. LiveNet is currently used in a number of clinical research domains:

• U.S. Army Soldier Physiology Study
  This project attempts to study the effects of harsh environments on soldier physiology through the use of non-invasive sensing. Our pilot study involves using non-invasive accelerometer sensing to determine hypothermia and cold exposure state, as part of a broader initiative to develop a physiologic monitoring device for soldiers under the US Army's Objective Force Warrior. This project is a joint research collaboration with the Army Research Institute for Environmental Medicine (ARIEM) at the Army Natick Labs.

• MGH Depression Study
  This study, the first of its kind, intends to correlate basic physiology with depression state through the long-term continuous monitoring of clinically depressed patients undergoing electro-convulsive therapy. The goal is to use non-invasive mobile physiologic sensing technology to classify depression state and track the effects of treatment over time. This project is a joint collaboration with Dr. Carl Marci, Director of the Social Neuroscience at the Massachusetts General Hospital and Harvard Medical School.

• MIT Poker-Physiometrics Study
  As a baseline study to determine if it is possible to correlate non-invasive physiology with a variety of important contextual measures such as stress, attention, and interest, a pilot study has been initiated to establish the correlation between stress and physiology in gaming situations such as live no-limit poker tournaments.

• UR Epilepsy Study: This study attempts to quantify epileptic seizures through accelerometry and to develop an ambulatory monitor with a real-time classifier. This study is a joint collaboration with Dr. Michel Berg at the University of Rochester's Strong Hospital.

• Voxys Healthcare Systems
  Co-founded a startup venture to commercialize LiveNet wearable and sensing technologies to develop practical physiologic monitoring applications for the consumer healthcare market. Our current focuses are on long-term predictive healthcare applications and electronic data capture/monitoring applications.

Massachusetts Institute of Technology
2000-2005, Ph.D. Candidate in Electrical Engineering and Computer Science, February 2006
My current research at the cross-disciplinary MIT Media Laboratory encompasses computer system and embedded system engineering, physiologic and contextual sensing technology, and statistical machine learning techniques for multimodal data analysis. My doctoral research focuses on developing practical wearable monitoring systems using non-invasive physiologic sensing capable of context classification and behavior trending for a variety of real-time proactive healthcare applications.

Massachusetts Institute of Technology
2001-2004, Finance Technology Option Program, Sloan Business School, June 2005
Certificate degree in financial technology and engineering conferred jointly by the MIT Sloan School of Management and School of Engineering. Intended for engineering Ph.D students and MBA students to develop deep analytical skills in financial engineering and technology innovation and management. Coursework focused on finance theory and analysis, advanced financial engineering, quantitative investment management, and graduate technology classes.

Massachusetts Institute of Technology
1997-1998, M.Eng. in Electrical Engineering and Computer Science, June 1998
Researched next-generation microprocessor and multiprocessor design, specifically microarchitectural features of computer systems for improving bandwidth and processing power. Coursework and substantial teaching experience in computer architecture, microprocessor design, networking, supercomputing, computer systems engineering, and VLSI design.

Massachusetts Institute of Technology
1993-1997, B.S. in Electrical Engineering and Computer Science, Minor in Economics, June 1997
Majored in EECS track which spans the traditional electrical engineering and computer science disciplines, with coursework ranging from computer and electronics design, semiconductor physics, digital signal processing, bioelectronics, electromagnetic waves, and computational computer science; strong minor in economics.

MIT Wearable Computing Lab/Human Dynamics Group, MIT Media Laboratory
2002-Present, Research Assistant
Lead researcher for the MIT Wearables Group under Prof. Sandy Pentland. One of the principal developers of the next-generation distributed wearable computing platform for applications involving real-time data streaming and classification, context-aware agents, and long-term physiological/health monitoring and modeling. Developed collaborations with various institutional and corporate sponsors, including U.S. Army Natick Labs, Massachusetts General Hospital, University of Rochester Center for Future Health, Fraunhofer Institute, British Telecom, and National Taiwan University. Other responsibilities include guiding the research and development agenda of the Wearables Group, regular communications with Media Lab industry sponsors, grant proposal authorship, and mentoring of undergraduate researchers.

Advanced Diamond Solutions, Inc.
2003-Present, Founder
Principal founder of company which develops diamond composite materials for thermal management applications in the semiconductor, optoelectronics, military, and electronics packaging industries. Directed business development and operations activities, with major successes in securing strategic partnerships with industry-leading distributors and overseas manufacturers. Recently negotiated the acquisition of a main competitor in the CVD diamond manufacturing space. Bootstrapped company with minimal funding to current status of over 25 active customers, including Apple, Northrop Grumman, Honeywell Electronics, Kyocera, BAE Systems, Intel, IBM, Bookham, and Coherent.

Computer Architecture Group, MIT Laboratory of Computer Science
2001-2002, Research Assistant
Researcher for the SCALE project under Prof. Asanovic. Developed energy simulation tools for investigating power dissipation and energy consumption in out-of-order superscalar processors. Investigated various alternative microarchitectures for energy aware compilers and low-power exception handling and execution on modern microprocessors.

Computation Structures Group, MIT Laboratory of Computer Science
1999-2001, Research Assistant
Researcher under Prof. Arvind. Investigated the use of term rewriting systems (TRS) to design and verify processors and system architectures. Developed TRS specification for the Intel x86 ISA. Created trace cache simulator for exploring alternative instruction-fetching designs for next-generation microprocessors.

Advanced Media Products Division, Silicon Graphics, Inc.
1998-1999, Hardware Engineer
Hardware design and verification engineer. Designed the streaming data interface port as well as the debug module for a next-generation video compression/decompression chip. Additional responsibilities included maintaining and updating Synopsys tools, process design libraries, synthesis flow, and regression testing environment for the project, as well as verification of the memory and PCI interface blocks of the chip.

MTI Architecture Group, Silicon Graphics, Inc.
1997-1998 Research Assistant
Simulation and performance evaluation of trace caches for achieving high-bandwidth instruction-fetching in high-performance microprocessors. Master's thesis research under the MIT VI-A Industrial Co-Op Program.

Advanced Systems Division, Silicon Graphics, Inc.
1996-1997 Research Assistant
Performance characterization work on distributed supercomputing systems such as the SGI SMP Challenge and prototype DSM Origin 2000 machines. Developed a novel parallel benchmark suite to characterize these multiprocessor systems.

MTI Architecture Group, Silicon Graphics, Inc.
1995-1996 Research Assistant
Performance simulation of the R10000 microprocessor chip. Analyzed code characteristics of SPEC benchmarks and optimized code for the instruction simulator to calculate SPEC for the R10000.

Undergraduate Research Advising
2001-Present
Currently advise and teach undergraduate students working on various projects such as embedded firmware development, hardware and sensor design, machine learning modeling, wearable system integration, and distributed application development. Extensive advising, teaching, and project management experience, with over 15 total students under direct advisement.

2003-Present
Digital Anthropology and Innovation
Helped to develop, organize, and teach this cross-registered course (MAS.996, 15.970) between the MIT Media Laboratory and Sloan Business School. Bringing together researchers from the Media Lab and beyond with Sloan business students, the class emphasizes first-hand interaction with new emerging technologies and the people who create them. There is an emphasis on using the class as a testbed for these disruptive technologies, along with guest speakers drawn from a variety of emerging disciplines. The original class inspired class members to found the Sloan Innovations Club, now the second largest student club at the Sloan Business School. This class will be in its third year Spring, 2005.

2003-Present
Wearable Technology Hackfest
Organizing and running the annual MIT seminar class to draw upon various students and volunteers from all around MIT to promote the research agenda and philosophy of the MIT Wearables Lab. Through the class, students can directly work with the various sensor, embedded systems, and software technologies that are available to create practical wearable applications, with the ultimate goal of developing relevant research projects for the MIT Wearables Lab and fostering a larger wearable computing community.

2003
Entrepreneurship Seminar Series
An entrepreneurship seminar (SEM.089) running through Fall, 2003. Advanced Diamond Solutions, Inc. was an ongoing featured case study in the class. Involved with directing discussion and presentations on various aspects of starting a company, including setting up corporations and equity structures, IP licensing and patent protection, structuring strategic partnerships, obtaining funding, tax implications, and general operations issues.

2003-Present
Massachusetts State Science Fair
Alumni Committee Co-Chair for the MSSF. Actively involved with the science education of high-school students. Along with developing sponsor ties with alumni and other institutions, responsibilities include teaching regular seminars to students about how to conduct rigorous scientific research, as well as sessions for teachers and other educators on how to encourage students to pursue scientific endeavors.

2001-2002
MIT-CETI (China Educational Technology Initiative)
CETI is a program to promote cultural exchange between American and Chinese students through technology and science teaching programs. Taught chinese students at the Children's Palace Computer Center for Gifted Students in Shanghai. Developed, organized, and taught the curriculum for a number of classes on computer programming, web design, and computer architecture to over 50 students of varying degrees of proficiency, ranging from 2nd grade through high school.

1997-2001
Graduate Computer Architecture
Head teaching assistant for the graduate course on computer architecture (6.823), taught by Prof. Asanovic and Prof. Arvind. A core graduate-level technical course, responsibilities included teaching sessions, creating and grading exams and problem sets, developing course material and website, and other administrative and teaching duties. Significant experience with teaching graduate-level students, with four years of direct involvement.