Curriculum Vitae

Education

Ph.D. in Computational Biology

Weill Cornell Medical College, Expected June 2026

Tri-Institutional PhD Program in Computational Biology

BS in Biomedical Engineering

Georgia Institute of Technology, May 2021

GPA: 3.96/4.0, Minor in Computing and Intelligence

Research Experience

Graduate Researcher

Weill Cornell Medical College, Aug 2021 - Present

  • Engineered foundation models for predictive embryology in IVF procedures.
  • Developed structural variant detection methods for short-read cancer data.
  • Conducted research on data heterogeneity in federated learning and other ML applications.

Bioinformatics Researcher

Wake Forest School of Medicine, May 2019 - Sep 2021

  • Performed privacy-preserving methods through holographic transformations.
  • Developed models to predict immunotherapy-related adverse events.
  • Preprocessed and cleaned large datasets for NLP pipelines.

Professional Experience

Data Scientist Intern

Regeneron, May 2024 - Aug 2024

  • Reduced text processing time by 95% using NLP and LLMs.
  • Implemented analytics and data visualization tools to transform data into actionable insights.

R&D Bioinformatics Intern

Colgate-Palmolive, June 2021 - Aug 2021

  • Developed NLP pipelines for veterinary note standardization and search.
  • Constructed an LSTM model for early renal disease prediction.

Publications

Rajendran S, et al.

"Automatic Ploidy Prediction and Quality Assessment of Human Blastocysts Using Time-Lapse Imaging." Nature Communications, 2024.

Mandracchia B, Zheng C, Rajendran S, et al.

"High-speed optical imaging with sCMOS pixel reassignment." Nature Communications, 2024.

Rajendran S, Pan W, et al.

"An adaptive federated learning framework for clinical risk prediction with EHR data." Cell Patterns, 2024.

Rajendran S, Zisimopoulos P, et al.

"Non-invasive AI models for the prediction of human blastocyst ploidy." Lancet Digital Health, 2023.

Skills

  • Machine Learning
  • Deep Learning
  • Python, R, MATLAB
  • Data Visualization
  • Statistical Modeling
  • Genomics and Structural Variant Calling

Fellowships and Awards

NSF Graduate Research Fellowship, 2023 - 2026

Stipend: $34,000

NIH BEAMS Challenge Winner, Dec 2023

Awarded $5,000 for innovative outreach initiatives.

CDC & NASA Detecting Emerging Threats Challenge, Jan 2022

Awarded $7,500 for first place.