Upcoming Events

Teaching Students of Color in STEM

Friday July 31st from 1:00 PM to 2:15 PM

In collaboration with the Graduate Division and Jacobs School of Engineering, we are hosting a webinar called "Teaching Students of Color in STEM". This event is the third workshop of "Woke: A Series in Solidarity with People of Color in STEM." The event is open to students, recent graduates, postdocs, staff, and faculty members. The webinar will provide best practices for supporting and teaching students of color in STEM. It will feature a moderated discussion and a Q&A session with faculty members from the Jacobs School of Engineering and Physical Sciences. Attendees will have the opportunity to submit questions in advance as well as participate in a live Q&A.

Register and submit questions here. 

Panelists

R. Sekhar Chivukula is a Distinguished Professor of Physics in the UC San Diego Department of Physics. He received his Ph.D from Harvard University in 1987. Subsequently, he was a postdoctoral fellow and then a faculty member at Boston University. He moved to Michigan State University in 2003 and joined the UC San Diego Physics Department in 2018. Chivukula's research focuses on the theory of electroweak symmetry breaking and on the phenomenological implications of theories beyond the standard model of particle physics, concentrating especially on physics which can be discovered at the Large Hadron Collider. He teaches at both the graduate and undergraduate level, and he is committed to creating an inclusive environment for all students and to incorporating active learning in all of his classes. Chivukula enjoys making interactive presentations on particle physics and cosmology to the general public and to K-12 students and teachers, as well as working on professional development opportunities for women scientists from the developing world.

Dontarie Stallings is an Assistant Teaching Professor of Chemistry and Biochemistry in the UCSD Department of Chemistry and Biochemistry. He received his Ph.D in Chemistry from the University of Alabama in 2006. His current efforts include working to increase the success of underrepresented chemistry and biochemistry majors by assessing the commonalties for success and the barriers to retention among past students. Understanding these commonalties will help guide both my and the department's efforts to proactively provide support for students whose variables indicate they may have difficulties matriculating through the program. His work with OXIDE demonstrated the beneficial effects produced when chemist & social scientist collaborate to produce department specific policies to reduce equity and diversity barriers. Other efforts include a STEM—Social Science collaboration composed of UCSD faculty representatives. The aim of this collaboration is to produce policies and procedures that will affect positive change with respect to the climates within participating STEM departments.

Jelena Bradic is an Associate Professor of Statistics at UCSD where she holds joint appointment in the Department of Mathematics and Haliciolgu Date Science Institute. She recieved her Ph.D in Statistics at the Department of Operations Research and Financial Engineering (ORFE) at Princeton University. Bradic directs "Statistics Lab for Causal and Robust Machine Learning." Her interests are in causal inference, machine learning, robust statistics as well as missing data problems. Her application areas include observational and interventional date, treatment effects, as well as public health and policy learning. She strives to understand and develop new robust learning methods and algorithms with provable guarentees of stability, robustness to data corruption and data generating mechanism.

Ioana Dumitriu is a Professor of Mathematics at UCSD. She holds a BA in Mathematics from New York University (1999) and a PhD in Applied Mathematics from Massachusetts Institute of Technology (2003). Following a Miller Research Fellowship at University of California, Berkeley (2003-2006), she became a regular faculty member in the Department of Mathematics at University of Washington, Seattle (2006-2019). She joined UCSD in 2019. Dumitriu's research spans a number of areas that fall under the large umbrella of data science: from numerical linear algebra and scientific computing to stochastic eigenanalysis (a.k.a. random matrix theory), and from discrete probability and spectra of random graphs to applications in machine learning, specifically to clustering and community detection.

Tod A. Pascal is an Assistant Professor of NanoEngineering and Chemical Engineering; affiliate faculty of Materials Science and Engineering and the Sustainable Power and Energy Center. He graduated from the Division of Chemistry and Chemical Engineering at the California Institute of Technology in 2010. He conducted research in various areas of molecular simulations of biological and inorganic nanostructures, advancing efficient approaches for predicating free energies of these systems. His current research group advances theoretical and computational methods to elucidate the structure and dynamics of electro-chemical systems, disorder in condensed phase systems and spectroscopy at molecular interfaces