Suhas Srinivasan

Data Science

Affiliated with:

Data Science

Education:

Ph.D., Data Science, Worcester Polytechnic Institute, MA, 2015 - Present

M.E., Software Systems, Birla Institute of Technology and Science, Pilani, India, 2013

B.E., Computer Science, Visvesvaraya Technological University, Belgaum, India, 2010

I am a Data Science Ph.D. Candidate pursuing “biological data science” research in Prof. Dmitry Korkin’s group.

My primary research interests are in developing artificial intelligence to identify novel patterns in nextgeneration sequencing data, psychometric and neuroimaging data, structural bioinformatics and computational epidemiology. Additional research interests include machine learning methods to uncover communities in biological networks and detect anomalies in time-series data.

I was a teaching assistant in the Computer Science department and have taught courses in artificial intelligence, distributed computing systems, object-oriented design and computer graphics. I am also a research mentor for graduate and undergraduate students, and high school outreach programs.

Office Location

Fuller Labs 318

Contact

ssrinavasan@wpi.edu

Research Lab

http://korkinlab.org/

Awards

Academic Excellence Award, Data Science Program. WPI 2020.

2nd Place Award in Computer Science, Data Science & Cybersecurity, GRIE. WPI 2019

1st Place Award in Computer Science, Data Science & Cybersecurity, GRIE. WPI 2018.

Conference Scholarship. Gordon Research Conferences 2018.

Graduate Student Travel Scholarship. WPI 2018.

BITS Pilani Merit Scholarship, 2011-13.

Research Interests

Research Interests:

Data Science

Artificial intelligence

Bioinformatics

Neuropsychiatry

Scholarly Work

Scholarly Work:

Narykov O, Srinivasan S, Korkin D. Computational protein modeling and the next viral pandemic. Nature methods. 2021 May;18(5):444-445.

Srinivasan S, Leshchyk A, Johnson NT, Korkin D. A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data. RNA. 2020 Oct 1;26(10):1303-19.

Srinivasan S, Cui H, Gao Z, Liu M, Lu S, Mkandawire W, Narykov O, Sun M, Korkin D. Structural genomics of SARS-CoV-2 indicates evolutionary conserved functional regions of viral proteins. Viruses. 2020 Apr;12(4):360.

Cui H, Srinivasan S, Korkin D. Enriching human interactome with functional mutations to detect highimpact network modules underlying complex diseases. Genes. 2019 Nov;10(11):933.

Choobdar S, Ahsen ME, Crawford J, Tomasoni M, Fang T, Lamparter D, Lin J, Hescott B, Hu X, Mercer J, Natoli T. Assessment of network module identification across complex diseases. Nature methods. 2019 Sep;16(9):843-52.