Natural Language Processing (NLP)

Aaron Culich

Former Deputy Director of D-Lab; Cyberinfrastructure Architect and Consulting Lead

Aaron Culich is a staff member at the D-Lab with expertise in Cloud Computing, High Performance Computing (HPC), Databases (SQL and NoSQL), JupyterHub and BinderHub infrastructure, and a variety of programming languages (Python, R, Java, C, C++, and more). His ongoing mission is to explore new compute possibilities, discovering useful tools and practices, and making them more accessible to researchers on campus and beyond.

Sahiba Chopra

Data Science Fellow 2024-2025
Haas School of Business

I'm a PhD student in the Management and Organizations (Macro) group at Berkeley Haas. I have a diverse professional background, primarily as a data scientist across numerous industries, including fintech, cleantech, and media. I hold a BA in Economics from the University of Maryland, an MS in Applied Economics from the University of San Francisco, and an MS in Business Administration from UC Berkeley.

My research focuses on the intersection of inequality, technology, and the labor market. I am particularly interested in understanding how to reduce inequality in...

Lance Santana

Consulting Drop-In Hours: By appointment only

Consulting Areas: APIs, ArcGIS Desktop - Online or Pro, Bayesian Methods, Cluster Analysis, Data Visualization, Databases and SQL, Excel, Git or GitHub, Java, Machine Learning, Means Tests, Natural Language Processing (NLP), Python, Qualtrics, R, Regression Analysis, Research Planning, RStudio, Software Output Interpretation, SQL, Survey Design, Survey Sampling, Tableau, Text Analysis

Quick-tip: the fastest way to speak to a consultant is to first ...

Carl Illustrisimo

Consulting Drop-In Hours: By appointment only

Consulting Areas: Bash or Command Line, Cluster Analysis, Data Sources, Data Visualization, Digital Humanities, Excel, Git or GitHub, Javascript, LaTeX, Machine Learning, Natural Language Processing (NLP), Python, Regression Analysis, RStudio, SQL, Text Analysis

Quick-tip: the fastest way to speak to a consultant is to first ...

Aidan Lee

Consulting Drop-In Hours: By appointment only

Consulting Areas: ArcGIS Desktop - Online or Pro, Bayesian Methods, Causal Inference, Cluster Analysis, Data Sources, Data Visualization, Databases and SQL, Digital Health, Excel, Experimental Design, Geospatial Data: Maps and Spatial Analysis, Git or GitHub, LaTeX, Machine Learning, Means Tests, Mixed Methods, Natural Language Processing (NLP), OCR, Python, Qualtrics, R, Regression Analysis, Research Design, Research Planning, RStudio, RStudio Cloud, SAS, Software Output Interpretation, SPSS, SQL,...

Maksymilian Jasiak

Data Science & AI Fellow 2025-2026
Civil and Environmental Engineering

Maksymilian Jasiak is a PhD Student in GeoSystems Engineering at the University of California, Berkeley. His research focuses on Distributed Fiber Optic Sensing (DFOS) for lifeline infrastructure monitoring. His work aims to advance critical infrastructure security and resilience. He holds a MS in GeoSystems Engineering from the University of California, Berkeley and a BS in Civil Engineering from the University of Illinois Urbana-Champaign.

Bruno Smaniotto

Senior Data Science Fellow 2025-2026, Data Science Fellow 2024-2025
Economics

I'm originally from Brazil, but I have been living in Berkeley for the last 5 years working towards my PhD in Economics. My main areas of interest are Behavioral and Macroeconomics, mostly their intersection, but I'm excited about learning and working on empirical applications on different fields.

Jose Aguilar

Data Science & AI Fellow 2025-2026
Berkeley Graduate School of Education

Jose R. Aguilar is currently a PhD student in the Policy, Politics, and Leadership program at UC Berkeley’s School of Education. His research utilizes natural language processing, machine learning, and social network analysis to investigate how institutional discourse, algorithmic decision-making, and education policy influence postsecondary access and equity for marginalized students. Before Berkeley, Jose earned his M.A. in Urban Education from Loyola Marymount University and dual B.A./B.S.A. degrees in Government, Latina/o Studies, and Computer Science from the University of...

Abby O'Neill

Data Science & AI Fellow 2025-2026
Electrical Engineering and Computer Sciences (EECS)

I'm a PhD student in Berkeley AI Research (BAIR). My research interests include interpretability, robotics, computer vision, AI for the environment, and education, though the list keeps growing and probably needs some pruning. I'm a little nervous, but mostly hopeful about the future we're building and about the role data plays in shaping it.

Weiying Li

Data Science & AI Fellow 2025-2026
Berkeley Graduate School of Education

Weiying is a Ph.D. candidate in Learning Sciences and Human Development at the UC Berkeley School of Education, with a Designated Emphasis in New Media. Her research focuses on designing and evaluating AI dialogs that support students in learning complex science concepts and engaging with social justice topics in science, such as food access. She uses mixed methods to investigate how iterative prompt design, developed in collaboration with teachers, can deepen students’ knowledge integration. Her work contributes to the development of responsible and adaptive AI tools for...