Sanghamitra Bandyopadhyay

ISI, Kolkata

Sanghamitra Bandyopadhyay is presently serving her second tenure as the Director of the Indian Statistical Institute. She joined the institute as a faculty member and became the Director in 2015. Her research interests include computational biology, soft and evolutionary computation, artificial intelligence, and machine learning. She is the recipient of several awards including the Shanti Swamp Bhatnagar Prize in Engineering Science, TWAS Prize, Infosys Prize, J C Bose Fellowship, Swarnajayanti Fellowship, INAE Silver Jubilee award, INAE Woman Engineer of the Year award (academia), IIT Kharagpur Distinguished Alumni Award, Humboldt Fellowship from Germany, Senior Associateship of ICTP, Italy, Young Engineer/Scientist Awards from INSA, INAE and ISCA, and Dr Shanker Dayal Sharma Gold Medal and Institute Silverfrom IIT, Kharagpur, India. She is a Fellow of the four Science and Engineering Academies in India, as well as of IEEE, TWAS, International Association for Pattern Recognition (IAPR) and West Bengal Academy of Science and Technology. She serves as a member of the Science, Technology, and Innovation Advisory Council of the Prime Minister of India (PM-STIAC). In 2022, she was conferred the Padma Shri Award by the Government of India. Elected as Fellow in 2023.

Sanghamitra Bandyopadhyay

Session 2C - Lectures by Fellows and Associates

Somdatta Sinha, IISER, Mohali

On some machine learning applications in biomedical research

Over the past few decades, the usage of machine learning (ML) methods in biomedical research has gained immense importance. An overview of some ML techniques and molecular biology will be provided first in this talk. Brief presentations of some classical as well as recent applications of ML methods to a few problems in computational biology will follow.

© 2023 Indian Academy of Sciences, Bengaluru.