SRIRAM CHANDRASEKARAN

Pronunciation: Shree - Ram (rhymes with palm)               CHAN-drah (rhymes with Sandra) -say-car-un

 

EDUCATION

  • PhD, University of Illinois at Urbana-Champaign, 2008 – 2013

    • Major: Biophysics and Computational Biology

  • Bachelor of Technology, Anna University, Guindy, Chennai, India, 2004 - 2008

    • Major: Biotechnology

Appointments

  • Department of Biomedical Engineering, University of Michigan

  • Center for Computational Medicine and Bioinformatics, University of Michigan

  • Program in Chemical Biology, University of Michigan

  • The Michigan Institute for Data Science, University of Michigan

  • Center for Systems Biology, University of Michigan

POSITIONS

  • 2017 – Assistant Professor, Department of Biomedical Engineering, University of Michigan, Ann Arbor

  • 2013 – 2016 Junior Fellow, Harvard Society of Fellows, Harvard University, Cambridge

  • 2015 – 2016 Research Associate, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston

  • 2013 – 2016 Visiting Fellow, Broad Institute of MIT and Harvard, Cambridge

  • 2011 – 2013 Visiting Researcher, Institute for Systems Biology, Seattle

  • 2009 – 2011 Research Assistant, Institute for Genomic Biology, University of Illinois, Urbana

HONORS AND AWARDS

media coverage

SEMINARS AND INVITED PRESENTATIONS

  • 5th Conference on Constraint-Based Reconstruction and Analysis (COBRA), ‘Pathogen Metabolism and Antibiotic Resistance’, 2018

  • The National Autonomous University of Mexico (UNAM), The Center for Genomic Sciences and Biotechnology Institute, Frontiers in Genomics Seminar, 'Systems biology algorithms for combating antibiotic resistance', 2018

  • University of Michigan, Ann Arbor, Department of Computational Medicine and Bioinformatics, Tools & Technology Seminar Series, 'Designing drug combination therapies using INDIGO', 2018

  • University of Michigan, Ann Arbor, Department of Computational Medicine and Bioinformatics, 'Metabolic network dynamics in pathogens and stem cells', 2017

  • Rutgers University, New Brunswick, Department of Biomedical Engineering, 'Metabolic network dynamics in pathogens and stem cells', 2017

  • Center for Infectious Disease Research, Global Health Seminar, Seattle, 'Chemogenomics & Combination Therapies', 2016

  • University of Michigan, Ann Arbor, Department of Biomedical Engineering, ‘Drugs, Bugs and Bees: Computational Approaches for Combinatorial Biology’, 2016

  • California Institute of Technology, Department of Biology and Biological Engineering, ‘Systems Approaches for Combinatorial Biology’, 2016

  • Broad Institute, Infectious Disease Program Seminar, ‘Large-Scale Inference of Non-Linear Antibiotic Interactions using Chemogenomic Profiles’, 2015

  • Broad Institute, Computational Biology Program Meeting, ‘Chemical-genetic Inference of Antibiotic Interactions for Combination Therapies’, 2015

  • Harvard Medical School, Brigham and Women’s Hospital, Channing Division of Network Medicine, ‘Predicting Cell Metabolism and Phenotype Using Genome-Scale Network Models’, 2015

  • University of Illinois, Urbana, Department of Bioengineering, 2014. ‘Predicting Cell Metabolism and Phenotype Using Genome-Scale Network Models

  • Harvard Medical School, Department of Systems Biology, ‘Theory Lunch’, 2014. ‘Brain Metabolic States and Behavior

  • Northeastern University, Center for Complex Network Research, 2014. ‘Brain Gene Regulatory Networks and Social Behavior’

  • Broad Institute, Coordinated Biological Research Meeting, 2014. ‘Brain Metabolism and Social Behavior in Honeybees’.

  • Harvard University, Evolutionary Dynamics, Math 243, 2014. Guest lecture on ‘Molecular Networks and Behavior’

  • Harvard University, Center for Systems Biology, ‘Bauer Forum’, 2013. ‘Genome-scale Network Models of Metabolism and Social Behavior

  • Purdue University, 2012. ‘Linking Biochemical Networks with Genomic and Phenotypic Data Identifies Functional Regulatory Interactions’

  • Institute for Systems Biology, Seattle, RIP talk, 2012. ‘From Genotype to Phenotype: Linking Biochemical Networks with Genomic and Phenotypic Data to build predictive Network Models’

  • Massachusetts Institute of Technology, EurekaFest 2012. ‘Computational platform for next-generation diagnostics and bio-engineering’ (invited showcase)

  • Systems Biology short course at Institute for Systems Biology, Seattle, 2012. Guest lecture on ‘Metabolic Networks: A Systems Approach’

  • Institute for Systems Biology, Seattle, 2011. ‘Reconstructing Predictive Network Models of Cellular Behavior’

  • Center for Biotechnology, Anna University, 2011. ‘Next-Generation Diagnostics using Systems Biology’ (invited alumni talk)

PROFESSIONAL ACTIVITIES

  • Reviewer for Nature Communications, PNAS, PloS Genetics, Nucleic Acid Research, PloS Computational Biology, BMC Systems Biology, G3, Molecular Biosystems, Journal of Theoretical Biology, Computers in Biology and Medicine

  • Session Co-Chair (Computational and Systems Biology Track), Biomedical Engineering Society Annual Meeting, 2018

  • Session Co-Chair (Genomics , Proteomics and Metabolomics), Biomedical Engineering Society Annual Meeting, 2017

  • Session Co-Chair (Stem Cell Systems Biology), Biomedical Engineering Society Annual Meeting, 2017

  • Reviewer, Regeneron (previously Intel) Science Talent Search, 2016 -

  • Consultant, Manus Biosynthesis, 2015

  • Session Co-Chair (Systems Biology), Biomedical Engineering Society Annual Meeting, 2011

  • President, Illinois Biophysics Society, 2010 to 2012

  • Co-chaired the Centre for Biophysics and Computational Biology symposium, 2010

  • Judge, University of Illinois Engineering Open House, 2010

  • Member, American Institute of Chemical Engineers

  • Member, Biomedical Engineering Society

  • Associate editor, BMC Systems Biology