Areas of Interest
While an undergrad, Daniel worked under Dean Katherine Kantardjieff on various computational protein structure-function projects: lead compound optimization, protein structure elucidation; and analysis of the rare cancer Ewing’s Sarcoma. The cancer tends to affect children between the ages of seven and eighteen since the growth factor domain that appears to regulate transcription is expressed solely during puberty. From a nexus of interconnected intracellular interactions, he was able to illuminate a promising novel drug targets. Soon after his discovery, a paper was published that identified the same protein-protein interaction that he had discovered. His goal is to apply big data bioinformatics techniques to integrate genomic and proteomic data in areas such as structural genomics and transcription regulation, with a vision of accelerating the biological drug discovery. Predicting protein structure is one of the most challenging and captivating problems in modern biology.
- B.S., California State University, San Marcos (Biotechnology, Chemistry)