[ Research & Development ]

Reading biology
through algorithms.

My research applies machine learning to genomics and builds the bioinformatics infrastructure behind next-generation sequencing.

Full publication list on Google Scholar
10+Peer-reviewed papers
5+Patents & filings
15+Projects & collaborations
Filter
—Other contributions

Selected collaborations

Additional projects and contributions in algorithm development, deep learning and applied AI.

2021

Multimodal Deep Learning for Patient Survival Prediction

Roche Digital Pathology
  • Worked on a multimodal deep-learning model for patient survival prediction as part of a digital pathology team
  • The project used H&E images, patients' clinical data, and gene expression data for training the prediction model
  • The model consists of a convolutional neural network for training image data and a multilayer perceptron for training the clinical and mRNA data
  • Won several internal awards for the project
  • The project is currently pending a patent
Deep LearningPython
2023

Virtual Pathologist using LLM

Roche Digital Pathology
  • Teamed up with the digital pathology group on a Virtual Pathologist project
  • Uses a large language model (LLM) for generating explanations for pathology images
  • Our team won an internal award for this project
LLMHuggingFacePython

Patents & Publications

  • US Patent: In Progress (2024)
2024

RAG system for internal documentation

Roche Sequencing Solutions
  • Developed a RAG system for internal documentation using a large language model (LLM)
  • The system uses a large language model (LLM) for generating explanations for internal documentation
  • Ongoing work on generating test cases for project technical requirements and product requirements
LLMLangChainRAGPython