Research Interests: Machine Learning, Data Science, and Statistics


I am a Principal Process Data Scientist for Regeneron. My role supports the Process Sciences Department through detailed analyses of heterogeneous data from small-scale laboratory experiments, large-scale manufacturing, and raw materials related to both upstream and downstream production processes for biopharmaceutical production.

I completed my Ph.D. at the University at Albany, SUNY, under the supervision of Dr. Yiming Ying at the UA Machine Learning Lab (ML@UA). My thesis work focused on designing algorithms to overcome the computational challenges of optimizing the AUC metric.

Outside of my work, I also have an interest in fitness and app development.