Tuseeta Banerjee

Tuseeta Banerjee is a Research Scientist at Wolfram Research with a Ph.D. in Chemistry and Computational Science and Engineering certification from the University of Illinois at Urbana-Champaign.

She leads interdisciplinary projects at Wolfram, focusing on implementing algorithms and neural net models for various applications and functions in Mathematica and the Wolfram Neural Net Repository.

Tuseeta is also a certified Wolfram language instructor, offering courses on statistical learning and deep learning.

Her educational background includes a Master of Science in Physical Chemistry from the Indian Institute of Technology Bombay and a Bachelor of Science in Chemistry from St. Xavier's College.

Prior to her current role, she held positions at PreScouter Inc., where she worked as a Distinguished Scholar, Team Lead, and Technology Consultant.

Tuseeta's research experience includes roles as a Research Fellow at the Indian association for the cultivation of science and as a Graduate Teaching Assistant at the University of Illinois at Urbana-Champaign.