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I am a fourth year PhD candidate (will finish soon!) in computational biology at School of Life Sciences in Technical University of Munich (TUM) under supervision of Fabian Theis. My PhD is focused on developing machine learning algorithm to analyze single-cell genomics data.

My main focus is leveraging single-cell technology and machine learning for and drug discovery. In the first year of my PhD, I developed scGen a tool to analyze and predict the effect of a perturbation (i.e drug, disease) at single-cell resolution. To learn more about the the model, you can check our paper in Nature Methods and media coverage in TUM website. I am also a huge advocate of using ML to facilitate single-cell analysis for every one, regardless of their stat or ML knowledge. I developed a model called scArches leveraging transfer and life-long learning update multi-modal single-cell atlases with new query datasets. This started a research direction in single-cell computational field called “reference mapping” which is an active area of research.

Apart from academic research, I worked with drug discovery companies such as Cellarity. I am also collaborating with Facebook AI centered around machine learning for health and recently admitted to FACEBOOK AI research intern program.

Before starting my PhD, As a part of my master thesis thesis, I developed Deep packet, the first end-to-end model to replace classical rule based approaches for traffic classification. The model was favoured by The research community and has been cited nearly 400 times since 2019!