FAQ
Who are you?
I am a soul in a physical emodiment who is unravelling deep
mystical secrets of universe warped in time and hidden in
oblivion. Jokes apart, I am a fifth year graduate student(two
years of MS and 3rd year of Ph.D. now) at the Camera Culture
group at MIT Media Lab with Prof. Ramesh Rasksar as my
Advisor. You can find my (somewhat outdated) CV
here
What is your research
about?
We are entering into an era where each of us will have
multiple AI models trying to improve our lives. These models
will be trained on our data, and will be used to make
decisions on our behalf. However, these models will need data
from others to be effective. Consider Google Maps, it doesn't
matter how much data you have, if you are the only one using
it, it will not be able to predict traffic. Centralization of
all data is not the solution because it will lead to privacy
issues and even Google Maps does not need data from people in
India to predict traffic in Boston. I am applying the same
analogy to healthcare. So that we can build models that can
predict and improve our health by learning from each other,
without centralizing all data.
I need your speaker bio
Abhishek is a 5th year Ph.D. student at MIT Media Lab. His
research interests include collective intelligence,
self-organization, and decentralized machine learning. He has
background in deep learning, computer vision, distributed
systems, and data privacy. He has co-authored multiple papers,
received several fellowships and awards, reviewed scientific
works for all major machine learning conferences and built
systems in machine learning, data privacy, and distributed
computing. Before joining MIT, Abhishek worked with Cisco for
2 years where he did research in AutoML and Machine Learning
for systems.
What do you do outside
research?
I am interested in and excited about the future of health
optimization and longevity. I also like reading books,
listening to podcasts and watching videos about philosophy,
history, physics, biology, religion, tech industry etc etc. I
am basically a nerd who finds everything interesting. You can
read my blogs to learn more.
