Recitation Instructors (RIs)
Teaching Assistants (TAs)
- Lou Braida : ldbraida[at]mit.edu, 36-709, x3-2575
- Randall Davis: davis[at]csail.mit.edu, 32-237, 617-253-5879
- Martha Gray : mgray[at]mit.edu, x8-8974
- Leslie Kolodziejski: leskolo[at]mit.edu, 36-287, x3-6868
- Jing Kong: jingkong[at]mit.edu, 13-3065, (617) 324-4068
- Luis Velasquez-Heller: lfvelasq[at]mit.edu, 39-415B, (617) 253-0730
- George Verghese: verghese[at]mit.edu, 10-140K, x3-4612
Past "Best TA" Award Recipients
Louis Braida (Area VII) is Henry Ellis Warren Professor of Engineering
Engineering and Computer Science and of Health Sciences and Technology at
MIT. His research is currently focused on aids for the deaf: hearing aids,
tactile aids, cochlear implants, and cued speech. He developed and is
responsible for 6.182 and 6.552. In addition, he has lectured 6.001,
6.002, 6.071, and 6.551. He very much enjoyed teaching 6.UAT in the
Fall, 2004. He is currently Chair of the Bioelectrical Engineering Area
of the EECS Department and Co-Director of the Speech and Hearing
Bioscience and Technology Program of the Harvard-M.I.T. Division of
Health Sciences and Technology.
Kevin Chan is a EE/CS M.Eng student working in the Aerospace Controls Lab on visual perception algorithms for autonomous cars. Kevin is passionate about cars, rockets, and everything that moves fast. As an undergrad, he was the electronics lead on the MIT Formula SAE team and developed the electrical systems of multiple battery powered racecars. Kevin has worked for SpaceX, Tesla, and General Motors and seeks to build things with a real impact (as opposed to what many Bay Area VC's refer to as impact). In his free time, Kevin fulfills his need for speed by biking, skiing, and racing cars.
Randall Davis (Area II) is a Professor of Computer Science where he and his
research group are developing advanced tools that permit natural, sketch-based
interaction with software, particularly for computer-aided design and design
rationale capture. He received his undergraduate degree from Dartmouth,
graduating summa cum laude, Phi Beta Kappa in 1970, and received a PhD from
Stanford in artificial intelligence in 1976. He joined the MIT faculty in 1978,
served for 5 years as Associate Director of the Artificial Intelligence
Laboratory, and for two years as a Research Director of CSAIL. In 2003 he
received MIT's Frank E Perkins Award for graduate advising. From 1995-1998 he
served on the Scientific Advisory Board of the U. S. Air Force.
He's also very interested in the area of intellectual property and software. In
1990, he served as expert to the Court in Computer Associates v. Altai, a case
that produced the abstraction, filtration, comparison test that is now the
accepted standard for software copyright infringement determination. He has
served as an expert in a variety of other cases, including the Department of
Justice investigation of the Inslaw matter, where he investigated allegations of
copyright theft and cover-up by the Federal Bureau of Investigation, the National
Security Agency, the Drug Enforcement Agency, the United States Customs Service,
and the Defense Intelligence Agency. From 1998-2000 he served as the chairman of
the National Academy of Sciences study on intellectual property rights and the
information infrastructure entitled The Digital Dilemma: Intellectual Property in
the Information Age. He is thoroughly convinced good communication skills are key
to an ability to make a difference in the world, no matter what the focus of your
Tony Eng(Area II) finished his degrees at MIT and
is now a Senior Lecturer in EECS. He has been involved with 6.001 (Structure
and Interpretation of Computer Programs) for a number of years, and
now heads 6.UAT. He has also taught various other courses in entrepreneurship and oral communication. His background (Computer Science, Biology, and Math), and his previous areas of research (Networking, Cryptography, Computation and Biology, and Text Mining) are symptomatic of an individual who gets bored
easily. He has a passion for learning about and trying new things; an explorer and dilettante at heart, he'll try most things twice.
Kenny Friedman is a senior in Electrical Engineering and Com\
puter Science. He is interested in the intersection of Artificial Intelligence,\
Human-Computer Interaction, and Systems (how can we make tools that are not on\
ly smart, but also augment people's ability in a natural way?). When he's not d\
ebugging his code or debating the future of technology, you can find him chasin\
g down balls on the tennis court and wreaking havoc on a drum set.
Jack Gordon is a senior majoring in computer science
and engineering and minoring in economics. He has taken a massive random walk
through his time at the Institute, taking classes in film, German, and political
science, while also switching courses twice. Outside of class, you're most likely
to find Jack out on the Charles River at 6 am as a member of the heavyweight crew
team, getting involved in student government on the IFC, or trying new adventurous
recipes in the kitchen. If you're lucky, he might invite his recitations over for
dinner at the end of the semester!
Professor Martha Gray first came to MIT in 1978 as a graduate student in HST and EECS, and is now the J.W. Kieckhefer Prof. in HST and EECS. She has held many positions over the years, including 13+ years as Director of HST. She has taught many of the entry-level courses in EECS, as well as medical school subjects for HST. She has a long-standing research interest in arthritis and in developing multi-disciplinary organizations. The latter interest has grown to involve multiple international projects. She lives in Arlington with her husband (a boatbuilder), and three teenage children.
Hairuo Guo is a C.S. M.Eng. student at the Center for Brains, Minds, and Machines. He was swept through much of his undergraduate years by the advancements in AI caused by the rise of Deep Learning. As a graduate student, he has overcome this initial infatuation and is now primarily interested in models possessing desirable properties of human cognition currently not exhibited by Deep Neural Networks. When not looking for ways to have computers learn and generalize from fewer examples, he makes use of his other S.B. degree in Comparative Media Studies by reading cultural theory, consuming many forms of media, and learning about subcultures. He occasionally attempts to offset his media intake by writing creative non-fiction and doing documentary photography. Any remaining spare time and energy are usually spent swimming, sailing dinghies, alpine skiing, and boxing.
Leslie Kolodziejski (Faculty Chair for Areas IV and V) is
the principal investigator for the Integrated Photonic Devices and Materials
Group within the Research Laboratory of Electronics. Professor Kolodziejski
joined EECS at MIT in 1988 as Assistant Professor following two years as
Assistant Professor at Purdue University. She obtained all of her education from
Purdue: a BS in 1983 and a MS in 1984 in Materials Science, and a PhD in 1986 in
Electrical Engineering, Her research interests include: compound semiconductor
materials, novel heterostructures, devices and device physics, heteroepitaxial
growth processes and advanced fabrication technology, optoelectronic and
photonic devices. She supervises two research labs located in Bldgs. 38 and 36
using molecular beam and ion beam deposition techniques to layer materials
atom-by-atom. After work, Leslie very much enjoys the twists and turns, ups and
downs of raising her 9 year old son and 7 year old daughter.
Jing Kong is a Professor in Electrical Engineering and Computer Science. She received her B.S degree in Chemistry from Peking University, Beijing, China in 1997 and PhD degree in Chemistry from Stanford University in the United States, 2002. She joined the faculty at MIT in 2004.The current research of her group involves CVD synthesis, characterization of graphene and related two dimensional materials, investigation of their electronic and optical properties and developing their applications.
Remi Mir is a senior in Comp Sci, with a concentration in Theatre Arts and an interest in machine learning. (Look up DeepDream and you'll probably be interested too!) She enjoys teaching kids how to code, microblogging (because "tumblring" isn't fetch yet), and alliteration.
Kelly Qi is a senior in course 6-2 with a interest in AI and product design. She hopes to work on applying machine learning to self driving cars (just until we figure out teleportation!). Her favorite hobbies include eating, lifting, and playing children's card games.
Lisette Tellez is a senior majoring in Computer Science and playing on the varsity volleyball team. You can usually find her in either the weight room or the kitchen, as she is a CrossFit Coach and is training to become a Health Coach. She enjoys helping students innovate in order to solve hard problems, which is why she is a managing partner of Dorm Room Fund, a student-run venture fund that invests in student startups. One of her goals is to use an overlap of technology, fitness, and nutrition to improve people's health and wellbeing.
Drew Titus is a Computer Science MEng student whose research
interests include speech recognition and artificial intelligence. Drew has interned at Apple for the
past two years, working on both iOS system software and Siri. Drew also minored in German as an
undergrad and participated in the MISTI Global Teaching Labs program in Germany twice. Outside of research,
Drew plays bass and guitar in a band and enjoys playing golf and skiing.
Luis Fernando Velasquez is a Principal Scientist with the Microsystems Technology Laboratories of MIT. He is a microfabrication expert and a MEMS expert. He leads a group that conducts research on micro and nano enabled multiplexed scaled-down systems for space, energy, healthcare, manufacturing, and analytical applications that exploit high-electric field phenomena, e.g., electrospray, electrospinning, electron impact ionization, field emission, field ionization, plasmas, and X-rays. He was born and raised in Bogotá, Colombia. He received is BS degrees from Los Andes University and his MS and PhD degrees from MIT.
George Verghese is Henry Ellis Warren (1894) Professor of Electrical and Biomedical Engineering, and a MacVicar Faculty Fellow. His research interests in modeling, signal processing, identification and control have drawn him to applications in biomedicine (for the past thirteen years) and power systems (for the twenty-five years before that). He is currently interested in the use of physiological models to extract information – on timescales of seconds, minutes and hours – from clinical data collected at the bedside or in ambulatory settings. He has coauthored undergraduate texts on power electronics (used in 6.334) and signals, systems and inference (used in 6.011).