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Shrikant Pawar
PeerJ Reviewer
85 Points

Contributions by role

Reviewer 85

Contributions by subject area

Bioinformatics
Computational Biology
Gastroenterology and Hepatology
Data Mining and Machine Learning
Drugs and Devices
Oncology
Pharmacology
Respiratory Medicine
Cell Biology
Genomics

Shrikant Pawar

PeerJ Reviewer

Summary

Pawar is an Assistant Professor (tenure-track) in Department of Computer Science and Biology at Claflin University (https://www.claflin-computation.com/) with a Masters in Computer Science and a Ph.D. (https://scholarworks.gsu.edu/biology_diss/216/) from Georgia State University, Atlanta. He’s also an co-founder of a Connecticut based AI company, ChestAi (https://www.chestai.org/), and a research affiliate at Yale University School of Medicine (https://campuspress.yale.edu/shrikantpawar). Until last year, he was an Associate Research Scientist at Yale Center for Genome Analysis. His dissertation was focused on big data (next-generation sequencing, microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, SVM’s, Restricted boltzmann machines, Clustering algorithms etc.). If you share similar interests feel free to contact. You can browse some of the recent machine learning applications on GitHub in projects. The detailed list of credentials can be found at: Linkedin, NCBI Bibliography or Google Scholar. AOL: [email protected]; Proton: [email protected]; Tutanota: [email protected]; Discord id: pawar#7724, [email protected], [email protected]; [email protected]; [email protected]. Field of Research/Study: Bioinformatics; Computational Biology; Data Science; Artificial Intelligence; Computer Vision.

ORCID iD: https://orcid.org/0000-0002-6157-2462

Bioinformatics Cell Biology Computational Biology Genomics Oncology

Past or current institution affiliations

Claflin College
Yale University

Work details

Associate research scientist

Yale University
Genetics
Pawar is an Associate Research Scientist at Yale Center for Genome Analysis (YCGA), Yale University. His research interests are focused on big data (next-generation sequencing, microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, SVM’s, Restricted boltzmann machines, Clustering algorithms etc.). He brings unique expertise in data science, bioinformatics, computer science and predictive analytics.

Assistant Professor

Claflin College
Computer Science

Identities

@wolfcry123

Websites

  • Google Scholar
  • Profile
  • PubMed Search
  • GitHub
  • ResearcherID
  • Academia

PeerJ Contributions