CV  •  Google Scholar  •  Twitter  •  LinkedIn

  

Skills  •  Work Experience  •  Publications  •  Talks  •  Posters  •  Awards  •  Teaching Experience •  Service and Outreach





Bio

I am a Machine Learning and Computational Biology Ph.D. student in Computer and Information Science department at the University of Pennsylvania. I am advised by Dr. Yoseph Barash. My research focus is on application and development of interpretable machine learning methods for answering core biological questions. My research projects have involved predicting splicing differences between tissues and regulatory networks between RNA-binding proteins with deep learning and developing EIG, an interpretation method for splicing code and other deep learning models based on genomic data. In parallel, I have contributed to research towards reliable identification and quantification of splicing events from RNA-Seq data and understanding the role of RNA-binding proteins in post-transcriptional regulation. I received my MS from TU Munich in August 2014 with specialization in AI and Software Engineering. In a previous life, I was a software engineer working on navigation systems in cars for two years.