MATLAB

Jaewon Saw

Data Science Fellow 2024-2025
Civil and Enviromental Engineering

I am a PhD candidate in Systems Engineering. My current research focuses on distributed acoustic sensing (DAS), a cutting-edge technology with diverse applications. I have used DAS to detect whale vocalizations in Monterey Bay, California, and to monitor roadways, water pipelines, and energy infrastructure.

I enjoy identifying and mitigating challenges that arise when applying new technologies by developing data tools, pipelines, and frameworks for real-world deployments. My work is driven by a keen interest in exploring and refining innovative...

Sahiba Chopra

Data Science Fellow 2024-2025
Haas

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...

Kurt Soncco Sinchi

Data Science for Social Justice Fellow 2024
Civil Engineering

First generation student and looking to improve and apply Data Science core concepts into social impactful projects, as well as trying to leverage the information from previous cases for better insights of society. Focused on infrastructure and its impact under natural disasters.

Gabriela Paredes

Data Science for Social Justice Fellow 2024
Civil and Environmental Engineering

Gabriela is a second-year PhD student in the Geosystem program at UC Berkeley's Civil Engineering Department with a designated emphasis in Global Metropolitan Studies, working under the guidance of Professor Adda Athanasopoulos-Zekkos.

Her research explores infrastructure resilience and social vulnerability, focusing on how climate change impacts urban areas and affects marginalized communities. She integrates engineering solutions with social justice perspectives to enhance urban resilience and equity.

Hugh Kadhem

Mathematics

Hugh Kadhem is a Ph.D. student in Applied Mathematics, with broad research interests in computational quantum physics and high-performance scientific computing.

Thomas Lai

Consultant
School of Information

I am a Product Engineer passionate about applying engineering, data science, machine learning, and problem-solving principles to improve device performance and solve complex challenges. With experience in statistical analysis, lab bench automation, and Python scripting, I have developed a strong technical skill set that allows me to make meaningful contributions to any project. Beyond my work, I am also passionate about exploring new topics and ideas, from the latest technology trends to how to improve the overall well-being of humans. I enjoy applying the first principle to any...

Reine Ngnonsse

IUSE Undergraduate Advisory Board
Genetics and Plant Biology

Reine Ngnonsse, an enthusiast for math and technology, delved into tutoring math at a community college through the EOPs program. At UC Berkeley, while pursuing Genetics and Plant Biology, She explored R programming in a CRISPR project. As an intern at Health Career Connection, Reine expanded coding skills in Python, R, and Tableau, igniting a passion for programming. With exposure to Python and Javascript, she can't wait to merge mathematical prowess with coding finesse for innovative solutions.

Thomas Lai

Consulting Drop-In Hours: Fri 3pm-5pm

Consulting Areas: Python, Matlab, APIs, Data Manipulation and Cleaning, Data Science, Data Visualization, Machine Learning, Python Programming, Software Tools, Git or Github, Spotfire

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

Sophie Ruehr

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R, LaTeX, Matlab, Data Visualization, Geospatial Data, Maps & Analysis, Means Tests, Regression Analysis, Software Output Interpretation, Spatial statistics, Time series, Bash or Command Line, Excel, Git or Github, Google Earth Engine, MATLAB, RStudio

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

Emma Turtelboom

Data Science Fellow
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.