News :
  • Velorama now out in Cell Systems. Infer gene regulatory networks from RNA velocity data!
  • We welcome Aditya Pratapa as a postdoc with the group!
  • We welcome Sinan Ozbay to Duke's CBB PhD program!
  • PLM-SWE: preprint with Navid NaderiAlizadeh on optimal transport-based aggregation of variable length protein embeddings
  • Aditya Parekh won the Best Poster award at Duke Health Data Science Showcase!
  • The first preprint from our Duke lab! Sceodesic exploits the Riemannian manifold of single-cell coexpression
  • Check out the MIT News story on ConPLex (also, these stories)

I am an Assistant Professor at Duke Univ, in the Depts of Biostatistics & Bioinformatics, and Cell Biology. My research interests broadly lie in the area of computational biology and I'm especially excited about leveraging machine learning to develop precision diagnostics and therapeutics. Towards this, our lab is working to develop methods for diagnosing disease mechanisms, identifying potential drug targets, and designing therapeutic interventions. Among the projects we have ongoing are algorithms for analyzing multimodal single-cell data and inferring regulatory mechanisms. We have also been enamored with the power of protein language models and are using them for predicting protein interactions, drug interactions, and designing antibodies.

Positions available: If you're interested in a postdoc or if you are a Duke undergraduate or graduate student and interested in problems that relate to the topics above, please reach out!


Rohit Singh