My research involves understanding and solving data analysis problems that arise when measuring molecules. In particular, I combine a broad spectrum of mathematical and engineering methods with application-specific insights to more effectively organize, analyze and interpret data. This interdisciplinary approach leads to the development of high-impact practical tools and novel theoretical insights communicated through software products, seminars and publications. Life science applications, broadly speaking, are a source of problems of particular interest, including but not limited to: biomanufacturing, environmental monitoring, food, forensics and toxicology. 

 

The successful candidate will be interested in developing computational tools (e.g., models, algorithms, etc.) and working with real-world chemical information (e.g., measurements like mass spectra or concepts like chemical structure). 

key words

algorithms; artificial intelligence; biochemistry; cheminformatics; chemistry; computational mathematics; data science; machine learning; mass spectrometry; programming

Citizenship:  Open to U.S. citizens

Level:  Open to Postdoctoral applicants