SQL

Searching for Other Solar Systems

November 21, 2023
Emma Turtelboom
by Emma Turtelboom. Over the last three decades, we have discovered over 5000 exoplanets, which are planets outside of our Solar System. With these observations, we can try to answer many questions we have about the universe. For example, how unique is the Solar System? How do planets form? Is there life elsewhere in the Milky Way? We can query the NASA Exoplanet Archive to compare multi-planet systems to the Solar System. Through this, we can compare how similar (or dissimilar!) the systems are.

James Hall

Consultant
Department of Statistics

James Hall is a graduate student in the Statistics MA program at University of California, Berkeley. He is a husband and father to three awesome kids. Originally from Baltimore, MD, James earned his bachelors in Mathematics at the United States Military Academy at West Point, NY in 2011, and served as a U.S. Army officer. He’s served as a leader at multiple levels within large organizations with a professional focus on visualizing and communicating complex analysis to decision makers. James’ experience and coursework give him expertise in navigating different statistical methods,...

Suraj Nair

Data Science Fellow
School of Information

I am a PhD Student at the School of Information. My research interests lie at the intersection of development economics and machine learning, with a focus on the use of large scale digital data and new computational tools to study pressing issues in global development.

Alex Ramiller

Data Science Fellow
City and Regional Planning

I am a PhD Candidate in City and Regional Planning. My research focuses on the use of large administrative datasets to study residential mobility, neighborhood change, and housing access. I received a Master in Geography from the University of Washington and a Bachelor's in Economics and Geography from Macalester College. I have also consulted on analytical projects for several organizations including the San Francisco Federal Reserve Bank, PolicyLink, and the City of Seattle.

Pratik Sachdeva, Ph.D.

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R, SQL, Databases & SQL, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Deep Learning, Machine Learning, Python Programming, R Programming, Regression Analysis, Hierarchical Models, Means Tests, Software Output Interpretation, Bash or Command Line, Excel, Git or Github, RStudio

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

Jose Aveldanes

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R, SQL, Stata, Databases & SQL, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Deep Learning, Machine Learning, Python Programming, R Programming, Causal inference, Hierarchical Models, Nonparametric methods, Regression Analysis, Software Output Interpretation, Survey Sampling, Survival analysis, ATLAS.ti, Dedoose, Git or Github, NVivo, RStudio, RStudio Cloud, Stata

Quick-tip: the fastest way to speak to a...

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.

Farnam Mohebi

Data Science Fellow
Haas School of Business

I am currently a PhD student at the Haas School of Business, having previously completed my MD-MPH. I focus on the intersection of healthcare and management, driven by a deep interest in understanding the embedded meanings in medical literature. I am also interested in physician-scientists' narratives of clinical artificial intelligence. Additionally, I study the impact of management practices on physicians. My work is guided by my background in healthcare and a commitment to improving organizational practices within the field.

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.

Kamya Yadav

Data Science Fellow
Political Science

Kamya is a third year PhD student in the Department of Political Science. Using multimethod research, she studies gender, representation, and political parties in India to understand the barriers and pathways to women's political participation and representation. She has a BA in Politics from Princeton University.