I am a 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.