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UID:135@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20250724T100000
DTEND;TZID=Asia/Kolkata:20250724T110000
DTSTAMP:20250709T074238Z
URL:https://cds.iisc.ac.in/events/seminar-cds-102-july-24th-1000-quantum-m
 achine-learning-for-multi-omics-analysis/
SUMMARY:{Seminar} @ CDS: #102\, July 24th \,10:00: "Quantum Machine Learnin
 g for multi-omics analysis.
DESCRIPTION:Department of Computational and Data Sciences\nDepartment Semin
 ar\n\n\n\nSpeaker : Dr. Laxmi Parida\, IBM Fellow\, Quantum for Healthcare
  Life Sciences Smt. Rukmini–Sri Gopalakrishnachar Chair (Visiting Profes
 sor)\n\nTitle   : "Quantum Machine Learning for multi-omics analysis"\nD
 ate &amp\; Time : July 24th\, 2025 (Thursday)\, 10:00 AM\n\nVenue : # 102\
 , CDS Seminar Hall\n\n\n\nABSTRACT\n\nSingle-cell and population-level mul
 ti-omics analyses have greatly enhanced our understanding of biological co
 mplexity. By integrating various types of biological data—such as genomi
 cs\, proteomics\, and transcriptomics\, collectively known as multi-omics
 —these approaches have provided deep insights into the molecular mechani
 sms underlying complex diseases\, both at the cellular level and across pa
 tient populations. As the size and complexity of multi-omics data continue
 s to grow\, the need to leverage emerging technologies such as AI and quan
 tum computing also grows. Recently\, advances in quantum computing have sh
 own promise in solving real-world problems in machine learning and optimiz
 ation in biomedicine\, drug discovery\, biomarker discovery\, clinical tri
 als\, among other healthcare and life sciences objectives. In this tutoria
 l lecture\, I will discuss (i) fundamental concepts of quantum computing\,
  (ii) current state of quantum machine learning\, and (iii) some guideline
 s on when to use quantum machine learning.\n\nBIO: Dr. Laxmi Parida is an 
 IBM Fellow at the IBM Thomas J. Watson Research Center\, USA. She currentl
 y leads a global team on Quantum for Healthcare Life Sciences (HCLS) and i
 s 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 sys
 tem 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.\n\nHost 
 Faculty: Dr. Chirag Jain\n\n\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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