Harvineet Singh
PhD Alumni
Contact: hs3673@nyu.edu
Bio: Harvineet was a Ph.D. student in Data Science at New York University. His research interests included statistical modeling of structured data such as sequences and graphs, with applications in digital health and social sciences. Prior to joining NYU, he was a research engineer at Adobe Research in India, where he worked on methods for survival analysis, interactive recommendations, and sequence prediction. He has an Integrated Master’s degree from the Indian Institute of Technology Delhi in Mathematics and Computing. His Master’s thesis work, advised by Prof. Amitabha Bagchi and Prof. Parag Singla, explored graph representation learning techniques for social network data. He did two summer internships at Adobe Research, focusing on customer behavior prediction. Also, he was a visiting researcher at BME, Hungary. His other interests include traveling, playing basketball, and listening to music.