Machine Learning

Need help with Machine Learning?

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Below are the consultant we have available with Machine Learning and other expertise listed.

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.

Sarah Daniel

Data Science & AI Fellow 2025-2026
Political Science

Sarah Daniel is a PhD candidate in Political Science, specializing in urban politics in Sub-Saharan Africa, with a particular focus on East Africa. Her research examines how neighborhood communities organize for collective action to improve service delivery, reduce inequality, and enhance political representation.

Joyce Chen

Data Science & AI Fellow 2025-2026
College of Engineering

Joyce is a PhD candidate in Transportation Engineering. Her research focuses on assessing safety and network impacts of autonomous vehicles. She has teaching experiences in statistics and programming. Prior to Berkeley, Joyce obtained her Bachelor of Science in Computer Science from the University of Michigan, and had worked as a software engineer at various companies.

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...

Paige Park

Data Science & AI Fellow 2025-2026
Demography

Paige Park is a Doctoral candidate in Demography. Her dissertation investigates applications of AI to demography, including deep learning based demographic forecasting. She is interested in using emerging tools to better model and contextually understand mortality, fertility, and migration patterns, particularly in the US context. She received an MA in Statistics from UC Berkeley in 2023.

Armaan Hiranandani

Data Science & AI Fellow 2025-2026
School of Information

Armaan Hiranandani is a Master’s student in Data Science at UC Berkeley, where he also earned his B.S. in Industrial Engineering & Operations Research. Born and raised in Dubai, Armaan recently completed a software engineering internship at Netflix, working on the machine learning platform team. His interests include building scalable AI systems and applying data science to solve real-world problems.

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.

Maksymilian Jasiak

Data Science & AI Fellow 2025-2026
Civil and Enviromental 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 Master of Science in GeoSystems Engineering from the University of California, Berkeley and a Bachelor of Science in Civil Engineering from the University of Illinois Urbana-Champaign.

Skyler Yumeng Chen

Data Science & AI Fellow 2025-2026, Data Science for Social Justice Fellow 2024
Haas School of Business

Skyler is a Ph.D. student in Behavioral Marketing at the Haas School of Business. Her research centers on consumer behavior and judgment and decision-making, with a keen interest in both experimental methods and data science techniques. She holds a B.A. in Economics and a B.S. in Data Science from New York University Shanghai.

Decision-Making Under Pressure during My PhD: Lessons from whale songs and ocean noise

May 6, 2025
Jaewon Saw
by Jaewon Saw. This blog post shares a story from a field experiment using Distributed Acoustic Sensing (DAS) to detect whale vocalizations in Monterey Bay. Most of the data got overwhelmed by noise from boat engines, wave motion, and cable instability. On the final day, a spur-of-the-moment decision to add loops to the fiber optic cable dramatically improved signal quality.