Open House

Virtual 5th Year MIDS Open House

Tuesday, February 2, 2021
12:00 pm to 2:30 pm

Spend the afternoon getting to know the 5th Year MIDS program. This online event will feature opportunities to mingle with current 5th Year MIDS students and alumni, attend a sample lecture, and discuss application requirements, student life, return on investment, and more.


12:00–1:00 pm Information Session with Admissions Team and 5th Year MIDS Students & Alumni
1:00–1:30 pm Breakout Session with 5th Year MIDS Students & Alumni
1:30–1:40 pm Our Focus on Diversity, Equity and Inclusion with Catherine Cronquist Browning, Assistant Dean, Academic Programs, Equity, and Inclusion
1:40–2:25 pm Sample Lecture
MIDS Head Graduate Advisor D. Alex Hughes
2:25–2:30 pm Closing Remarks

5th Year MIDS Student & Alumni Panel

Christina Carr is a current 5th Year MIDS student passionate about using data to improve our understanding of behavioral science and human decision making. She is a first-generation college student and graduated from Berkeley with a bachelor's in cognitive science. Christina is also the inaugural recipient of the Sharon X. Lin & Andrew R.Bullen Graduate Fellowship in Data Science

Swetha Pola is a current 5th Year MIDS student focusing on data science. She graduated from Berkeley with a bachelor's in cognitive science. She is also the 5th Year MIDS Diversity Equity Inclusion and Belonging (DEIB) representative for the I School. Swetha is excited about researching and building products at the intersections of AI, social justice, and brain science.

Rudy Venguswamy, MIDS ’20, specialized in machine learning engineering with a focus on natural language processing as an undergrad at Berkeley. He is a Jack Larson Fellow and a Clinton Global Initiative Changemaker who focused efforts on building an N95 mask for air pollution in developing countries. Last year, Rudy interned as a data scientist at Pinterest.

Faculty Lecture

Professor D.Alex Hughes teaches DATASCI W241 / INFO 290: Experiments and Causal Inference and DATASCI W203: Statistics for Data Science. His research area includes experiments and causal identification, social networks, political behavior, and outcomes. His research explores how group identity shapes political access and how social connections shape political behavior.


After you register, we will follow up via email with event details.


Last updated:

January 22, 2021