The Speakers

Arnab Mukherjee

Professor and Dean (International Relations and Outreach), IISER Pune

Prof. Arnab Mukherjee is a leading researcher in theoretical and computational chemistry and biophysics at IISER Pune. His work spans molecular simulations, protein-DNA interactions, drug-DNA intercalation, and machine learning in biophysical systems. With a rich academic journey across premier institutes in India, France, and the USA, he combines deep theoretical insights with interdisciplinary collaborations in cutting-edge research.

Debarka Sengupta

Professor, IIIT-Delhi

Prof. Debarka Sengupta is a computational biologist working at the intersection of genomics and machine learning. He is known for his pioneering work in single-cell data analysis and cancer diagnostics. He also holds an honorary position at Queensland University of Technology, Brisbane.

Gaurav Ahuja

Associate Professor, IIIT-Delhi

Dr. Gaurav Ahuja is a systems and synthetic biologist at IIIT-Delhi. His research focuses on cellular responses and the role of metabolites in health and disease, combining tools from cheminformatics, molecular biology, and AI. He is a recipient of several prestigious awards, including the INSA Young Scientist Award.

Jagannath Mondal

Associate Professor, TIFR Hyderabad

Dr. Jagannath Mondal is a computational biophysicist at TIFR Hyderabad. His research uses molecular simulations—including Molecular Dynamics and Monte Carlo methods—to explore complex biological and chemical processes. He specializes in multi-scale modeling and advanced sampling techniques to study systems across diverse time and length scales.

Anand srivastava

Associate Professor, MBU, IISc Bangalore

Anand Srivastava is a computational biophysicist at the Molecular Biophysics Unit (MBU) at IISc Bangalore. His laboratory develops and uses multiscale theories and molecular simulation tools to unravel atomic-level descriptions of the functional motions of biomolecules, with current activities focused on membrane permeation and vesicular transport, as well as molecular recognition of intrinsically disordered proteins with RNA, lipids, and small (drug) molecules.

Poonam Pandey

Bioinformatician, Elsevier (Machine Learning Team)

Poonam Pandey is a bioinformatician and data scientist at Elsevier, specializing in machine learning and deep learning for complex biological data analysis. With expertise in computational chemistry, molecular simulations, and AI-driven drug discovery, she brings a multidisciplinary approach to scientific problem-solving. She is passionate about transforming data into actionable insights through advanced analytical techniques.

Praneeth Netrapalli

Research Scientist, Google Research India

Dr. Praneeth Netrapalli is a research scientist at Google Research India and an adjunct professor at TIFR, Mumbai. His work focuses on robust machine learning, optimization, and representation learning, with applications spanning science and societal impact. He is a recipient of the INSA Young Scientist Medal and the IEEE Signal Processing Society Best Paper Award.

Raghavan varadarajan

Professor, MBU, IISc Bangalore

Raghavan Varadarajan has been a professor at MBU, IISc Bangalore, since 1992. His laboratory works on protein structure, stability and immunogen design for viral vaccines. In 2017, he co-founded the startup Mynvax to take forward this work to the clinic. Mynvax is developing vaccines for respiratory viruses.

Shaon chakrabarty

Faculty Fellow, NCBS Bengaluru

Dr. Shaon leads a multidisciplinary research group at NCBS Bengaluru that combines theory and experiments to study cellular proliferation, drug response, and epigenetic regulation at the single-cell level. His work integrates live-cell imaging with statistical physics, machine learning, and stochastic modeling to uncover fundamental principles of cell fate decisions, circadian control, and cancer therapy resistance.

Shruthi Viswanath

Assistant Professor (Reader-F), NCBS Bengaluru

Dr. Shruthi Viswanath is a structural biologist at NCBS working on integrative modeling of large protein assemblies. Her lab combines experimental data with computational methods, including Bayesian inference and machine learning, to build accurate models of complexes like NuRD and desmosomes. She also develops tools such as NestOR, PrISM, and DisoBind for modeling disordered regions and low-resolution structures. Dr. Viswanath completed her Ph.D. at UT Austin and postdoc at UCSF.

SUJAN k Dhar

Research Scientist, Mazumdar Shaw Medical Foundation, Bangalore

Dr Sujan K Dhar leads the Computational Biology research group of Mazumdar Shaw Medical Foundation, Bengaluru. His work focuses on discovering diagnostic and prognostic biomarkers in multiple disease areas through integrating multi-omics data and medical images using computational biology and AI algorithms. His research interests also include in-silico design of proteins and antibodies.

Sridip parui

Assistant Professor, GITAM University, Visakhapatnam

Dr. Sridip Parui is an Assistant Professor in Department of Life Sciences, GITAM University, Visakhapatnam. He did his PhD from IACS Kolkata under the supervision of Dr.Biman Jana. In his doctoral study, he investigated low temperature hydrophobicity and its role in protein structure. He then worked with Prof. Ken Dill on integrative modelling of protein structure and protein-ligand interactions. Sridip has also worked with Prof. Anand Srivastava as Research Associate at MBU, IISC on understanding the fold switching of metamorphic proteins.

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