Department of Computational and Data Sciences
Department Seminar
Speaker : Dr. Laxmi Parida, IBM Fellow, Quantum for Healthcare Life Sciences Smt. Rukmini–Sri Gopalakrishnachar Chair (Visiting Professor)
Title : “Quantum Machine Learning for multi-omics analysis”
Date & Time : July 24th, 2025 (Thursday), 10:00 AM
Venue : # 102, CDS Seminar Hall
ABSTRACT
Single-cell and population-level multi-omics analyses have greatly enhanced our understanding of biological complexity. By integrating various types of biological data—such as genomics, proteomics, and transcriptomics, collectively known as multi-omics—these approaches have provided deep insights into the molecular mechanisms underlying complex diseases, both at the cellular level and across patient populations. As the size and complexity of multi-omics data continues to grow, the need to leverage emerging technologies such as AI and quantum computing also grows. Recently, advances in quantum computing have shown promise in solving real-world problems in machine learning and optimization in biomedicine, drug discovery, biomarker discovery, clinical trials, among other healthcare and life sciences objectives. In this tutorial lecture, I will discuss (i) fundamental concepts of quantum computing, (ii) current state of quantum machine learning, and (iii) some guidelines on when to use quantum machine learning.
BIO: Dr. Laxmi Parida is an IBM Fellow at the IBM Thomas J. Watson Research Center, USA. She currently leads a global team on Quantum for Healthcare Life Sciences (HCLS) and is the Smt. Rukmini–Sri Gopalakrishnachar Chair (visiting) at CDS, IISc. Previously, she led the Science teams in the Cacao Consortium (with MARS, USDA), the Genographic Project with National Geographic, the Sequence the Food Supply Chain Consortium and the personalized cancer medicine system Watson for Genomics. Her research areas include population genomics, cancer genomics, plant genomics, bioinformatics, algorithms (including AI) and topological data analysis and quantum computing for HCLS.
Host Faculty: Dr. Chirag Jain
ALL ARE WELCOME
