Principal Investigator
Pavlos is an educator and researcher. As an educator, Pavlos teaches CS109A, CS109B, Introduction to Data Science, and Advanced Topics in Data Science. He also teaches a course in MLOps. In the past, he has taught Capstone courses in Data Science and Computational Science, Introduction to Deep Reinforcement Learning, and is planning a course in Physics-Informed Neural Networks. Besides teaching regular courses at Harvard, his courses are also available via the Harvard Extension School and HarvardX. He has also participated in Data Science schools in Chile, Colombia, India, and Rwanda. His research lies at the intersection of astronomy, machine learning, and statistics. Most of his research activities are described on these pages.
You can find his CV here.
Members
Shivas Jayaram
Deep Learning Researcher & Practitioner - Currently teach various Deep Learning courses focusing on operationalizing Deep Learning models and building AI Apps - Previously, co founder and CTO of a Deep Learning startup.
Shuheng Liu
As the leading developer for NeuroDiffEq, I have great passions for computer science, software engineering, and mathematics. In my spare time, I'm a huge fan of kayaking, cooking, rock music, and everything fun!
Yuqing (Lily) Pan
Master's student in CSE. Main work on probabilistic model denoising model - stable diffusion - for deblurring images from the event horizon telescope.
Hari Raval
Master of Engineering in Computational Science and Engineering at Harvard University.
Varshini Reddy
Candidate for Master of Engineering in Computational Science and Engineering at Harvard UniversityCandidate of Engineering in Computational Science and Engineering at Harvard University
Cristobal Donoso
Doing time series analysis and deep learning applied to Astronomy
Ignacio Becker
His main area of research is applied AI to astrophysical problems. Nowadays, he focuses on developing models to process the real-time data of the next generation of telescopes.
Anshika Gupta
She is a deep learning enthusiast and a recent undergraduate from JECRC University, Jaipur. Previously, she was a Research Intern at Neos HealthTech where she worked on developing algorithms for medical image analysis and segmentation..
Kshitij Parwani
Working on methods to improve the performance and training of PINNs specifically in the domain of Sampling and Generalization to range of IV/BV problems.
