Multidisciplinary Simulation, Estimation, and Assimilation Systems (MSEAS)

Ben and Yoland Present Research at MERE 2020

Congratulations to Ben and Yoland for their MERE performance! Ben presented his research on “Optimal Harvesting With Autonomous Tow
Vessels For Offshore Macroalgae Farming”, and received a runner-up prize in the graduate student category. Meanwhile, Yoland presented his research on “3DSeaVizKit: Interactive 3D Visualization Toolkit For Oceanographic Data”, and received a special “MSEAS heart” price from us! Congratulations again to Ben and Yoland!

Chinmay Kulkarni

Chinmay is a graduate student pursuing a doctorate in Mechanical Engineering. His current work involves the development of intelligent machines and methods to learn and predict the transport of oceanic pollutants (debris and nutrients on a global scale. He spent four wonderful years at IIT Bombay, India from 2011 until 2017 and received a Master’s in Mechanical Engineering from MIT in 2017. Beyond research, he is also an enthusiastic pilot who is always willing to explore beauty of New England. His other hobbies include endurance biking and playing the drums. He is currently working on:

His publications so far include:

MSEAS Celebrates Dr. Chinmay Kulkarni’s PhD

MSEAS member Chinmay Kulkarni succesfully defended his PhD on September 24, 2020 and the group gathered in the Killian Court to celebrate!

Congratulations Dr. Chinmay! We wish you all the best going forward!

Chinmay Kulkarni Graduates with a PhD

Congratulations to Chinmay Kulkarni on his graduation! Chinmay succesfully defended and received his PhD from Mechanical Engineering for his research on “Prediction, Analysis, and Learning of Advective Transport in Dynamic Fluid Flows” with our MSEAS group at MIT. We wish all the best to Chinmay for his next steps!

Aman Jalan

I joined MSEAS as an SM MechE candidate in the Fall of 2020. My research broadly spans the areas of Bayesian Inference and Machine Learning for oceanic dynamical systems. Prior to joining MIT, I completed my Bachelor’s in Mechanical Engineering and Master’s in Data Sciences at IIT Madras, India. During my 5 wonderful undergraduate years, I had the good fortune of doing research in both academic and industrial settings. For my undergraduate thesis, I worked on augmenting a popular causal inference technique to identify causal climatic dependencies from spatial-temporal data. On the industrial front, my experiences run the gamut from cutting losses for an early-stage food-delivery startup to researching quantitative trading strategies for a hedge fund. Outside of research, I am an avid non-fiction reader (recently started foraying into fiction), a mediocre tennis player and travel enthusiast.