She completed her B.A. in Chemistry at California Lutheran University. As an undergrad she completed an internship at the University of Perpignan, France, in the evolutionary biology lab of Professor Giacomo Bernardi, then later in the biochemistry lab of Professor Dennis Revie. Afterwards, she worked in a drug discovery lab at the David Geffen School of Medicine at the University of California – Los Angeles under Dr. Samuel Weigt. Danielle joined the Mobley lab in 2018 under the Pharmacological Sciences Ph.D. program, and was recently awarded the ACM SIGHPC/Intel Computational & Data Science Fellowship. Her current work has revolved around contributing to the development and application of BLUES, and is involved in the SAMPL challenge. Her long-term research interest is to produce computational methods that reduce the cost of drug discovery, as well as expand the applications of computational chemistry in drug discovery.
- ACM SIGHPC/Intel Computational & Data Science Fellowship, 2018
- PyData Los Angeles Scholarship, 2018
- Carl Storm Fellowship, 2018