About Me

Pranav Kolluri

Bio

I am a first-year graduate student in the Biomedical Engineering program at Oregon Health & Science University (OHSU), where I work in the lab of Dr. Xubo Song. My research sits at the intersection of machine learning and computational biology, with a current focus on multimodal single-cell data integration, for example, jointly modeling scRNA-seq and scATAC-seq to translate between modalities and learn unified biological representations. I am also working on problems in hierarchical and equivariant representation learning and reinforcement learning applied to biological systems.

Before OHSU, I spent two years as an Aerospace Engineer at NASA Ames Research Center, where I built machine learning systems for real-time flight optimization, trained speech recognition models for air traffic control audio, and simulated electrified aircraft powertrain demonstrations using the National Airspace Digital Twin. I also conducted research at the UCSF Bone Quality Research Laboratory, where I developed CNN and transformer pipelines for automatic motion artifact grading of HR-pQCT scans and investigated how Type 2 Diabetes affects bone vascular structure and fracture risk, work currently being prepared for publication.

I hold a B.S. in Electrical Engineering and Computer Science with Honors concentration in Molecular and Cellular Biology from UC Berkeley (Class of 2024).

Outside of research, I enjoy LEGO, gardening, cooking, bird watching, plane spotting, building drones and UAS hardware (or at least trying to!), and 3D printing.

Education

  • B.S. Electrical Engineering and Computer Science (Honors concentration in Molecular and Cellular Biology), UC Berkeley, 2024
  • M.S./Ph.D. Biomedical Engineering (in progress), OHSU, 2025–present

Research Interests

  • Multimodal single-cell omics (scRNA-seq × scATAC-seq integration and translation)
  • Representation learning for biological data
  • Reinforcement learning in biomedical contexts
  • Computational imaging and deep learning for medical image analysis

Skills & Tools

Category Tools
ML / DL PyTorch, TensorFlow, Scikit-learn, CUDA
Languages Python, R, Java, C, C++, Go
Low-level / HW Verilog, RISC-V ISA, SolidWorks (CAD)
Data & Viz tidyverse, ggplot2, Quarto, MATLAB, SQL
Infra Git, Linux

Contact