Bio:
Education:
University of Tokyo, PhD in Computational Astrophysics
Universität Heidelberg, Masters in Astrophysics
Expertise:
Machine Learning/Artificial Intelligence, Astrophysics, Data Science
Biography:
Previously an intern at NASA and also a team member of the Event Horizon Telescope project, Dash was part of the team that captured the first-ever picture of a Black Hole. He is currently a PhD candidate at the University of Tokyo and works at the edge of Machine Learning and Astrophysics. He has served as a teaching Assistant for Introduction to Machine Learning and Computational Astrophysics courses over several semesters. He also has a ton of competitive coding experience in ML/AI. He has been teaching programming to High School and Middle School students at Tokyo Coding Club for the last three years. When not researching, Dash works on freelance software development and does photography. He also plays tennis and joins local competitions, while being a huge winter sports person.
Selected publications:
Prathamesh Dash, Chris Nagele, and Hideyuki Umeda, “A Machine Learning Approach to Determining Galaxy Substructures using the IRAC Camera of the Spitzer Space Telescope” (Submitted)