Dr. Smita Krishnaswamy

Associate Professor

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Biography

Smita Krishnaswamy is an Associate Professor at the Yale School of Medicine with a focus on Genetics and Computer Science. She is affiliated with the applied math program, computational biology program, the Yale Center for Biomedical Data Science, and the Yale Cancer Center. Her lab works on developing machine learning techniques to analyze high dimensional and high throughput biomedical data. She specializes in unsupervised machine learning methods, particularly manifold learning, and deep learning techniques for detecting structural patterns in data. Her primary research applications include immunology, immunotherapy, cancer, neuroscience, developmental biology, and health outcomes. Dr. Krishnaswamy has a Ph.D. in Computer Science Engineering from the University of Michigan. She completed her postdoctoral fellowship at Columbia University and has published extensively in the fields of computational biology and deep learning. Her research interests include Allergy Immunology, Computational Biology, Deep Learning, Machine Learning, and Neurosciences.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Yale School of Medicine • New Haven, CT

Focused on developing machine learning techniques for analyzing biomedical data.

Awards

#

Early-Career Investigator Award

2022-10-03

Requirements for Yale University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
TOEFL
Listening
Required:25
Speaking
Required:26
Total
Required:100
IELTS
Speaking
Required:7.5
Overall
Required:7
Prerequisites
Bachelor's degree in Engineering, Physics, Chemistry, Computer Science, or Mathematics
Application Checklist
  • Statement of academic purpose
  • Unofficial transcripts
  • Three letters of recommendation
  • Application fee ($105)
  • Resume/CV
Specialization Notes

Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.