Python

Leïla Njee Bugha

Data Science Fellow 2023-2024
Agricultural and Resource Economics

Leïla Njee Bugha is a 5th year PhD candidate in the Agriculture and Resources Economics department. She studied at the École Normale Supérieure de Paris-Saclay and at Sciences Po Paris in France, before starting a career in the field of program evaluation of public policies. Most recently, she worked as a Research Analyst at the International Food Policy Research Institute in Washington, DC, evaluating childhood nutrition and social protection programs in West Africa. As a PhD student, she specializes in development and labor economics, with a focus on understanding the barriers to...

María Martín López

Data Science Fellow 2023-2024
Psychology

María Martín López is a PhD student in the Cognition area within the Department of Psychology. Her research relates to cognitive computational and quantitative models of individual differences in behaviors, thoughts, and emotions. She is particularly interested in how we can create and leverage novel algorithms to understand, measure, and predict processes relating to externalizing psychopathology (e.g. impulsivity, aggression, substance use). She answers these questions using a range of computational and quantitive models including AI, NLP, SEM, time series analysis, multi-level...

Emma Turtelboom

Data Science Fellow 2023-2024
Astronomy

I am a PhD student in the Astronomy department, and I study planets outside our own solar system. I'm interested in learning how the properties of host stars affect planetary systems. In my free time, I love swimming, hiking, reading, and baking.

Python Data Visualization: Parts 1-2

April 7, 2025, 8:00am
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.

Python GPT Fundamentals

March 4, 2025, 10:00am
This workshop offers a general introduction to the GPT (Generative Pretrained Transformers) model. No technical background is required. We will explore the transformer architecture upon which GPT models are built, how transformer models encode natural language into embeddings, and how GPT predicts text.

Lauren Chambers

Consultant
School of Information

Lauren Chambers is a Ph.D. student at the Berkeley School of Information, where she studies the intersection of data, technology, and sociopolitical advocacy with Prof. Deirdre Mulligan. Previously Lauren was the staff technologist at the ACLU of Massachusetts, where she explored government data in order to inform citizens and lawmakers about the effects of legislation and political leadership on our civil liberties. Lauren received her Bachelor's from Yale in 2017, where she double-majored in astrophysics and African American studies, and she spent two years after graduation in...

Nimita Gaggar

Consultant
Public Health

Passionate and driven Public Health graduate student at UC Berkeley with a strong background in program management and a relentless pursuit of excellence. I have 5+ years of experience in program management and operations in the healthcare industry. My academic journey at UC Berkeley has equipped me with a multifaceted skill set, blending strategic thinking, data-driven decision-making, and effective communication. I thrive in fast-paced, dynamic environments and have a proven ability to lead cross-functional teams toward project success.

Jailynne Estevez

Consultant
Info & Data Science MIDS

Jailynne Estevez is a Data Analyst and a prospective Masters in Information and Data Science candidate at UC Berkeley. With a bachelor's in Public Policy, she brings a diverse skill set to her pursuits, demonstrating aptitude in data analysis and programming.

Sanjana Gajendran

Consultant
MIMS

I'm a second year MIMS Student with a focus on Data Science and Natural Language Processing. During the Summer 2023, I interned at Genentech as a Data Science Intern.

Harry Li

UTech
Data Science
Cognitive Science

Hello! I am a third-year undergraduate studying Data Science and Cognitive Science. I love what I'm studying and am also passionate about education policy reform and teaching in general. I'm also a big fan of the Los Angeles Lakers, trying out new recipes, gaming, and fitness!