About me

I am an AI scientist with a solid background in AI, specializing in Machine Learning and Bioinformatics. My work centers on developing advanced AI models, including LLMs and foundational models for integration of multimodal data (omics, images, text, single cell, etc.) to elucidate disease mechanisms, identify targets, and patient stratification; generative biology for designing and optimizing biological sequences; and perturbational modeling to enhance experiment design and validate targets.

Short Bio

I am currently a principal Artificial Intelligence scientist at J&J working on AI/ML for multimodal data integration (omics, images, text, etc.), generative biology, and perturbational modeling. I received a master’s in Bioinformatics from the Max Planck Institute for Informatics and Saarland University in Germany. I did my PhD with the International Max Planck Research School for Computer Science at the Max Planck Institute for Informatics. While at Max Planck, I was fortunate to be advised by Prof. Marcel Schulz. I was also a visiting student at Prof. Ernest Fraenkel’s lab. From April 2019 - February 2021, I was a postdoctoral research associate at Broad Institute of MIT and Harvard, and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) under the supervision of Prof. Manolis Kellis. In my spare time, I play soccer and go hiking. My favorite soccer player is Cristiano Ronaldo.

Awards

• International Max Planck Research School for Computer Science (IMPRS-CS) PhD Fellowship
• DAADA fellowship for doctorial research visit at MIT
• Travel fellowship for German Conference on Bioinformatics 2016
• Travel fellowship for ISMB-SIG 2016