Python

Pratik Sachdeva, Ph.D.

Data/Research Scientist, Senior Consultant, and Senior Instructor

I am staff at the Social Sciences D-Lab. I received my Ph.D. in the Physics department at Berkeley. My research lies in the realm of theoretical/computational neuroscience, which aims to use mathematical and computational tools to better understand how neural systems operate and process information. My projects include using information-theoretic techniques to study how neural variability impacts information processing in neural circuits and investigating the statistical issues that impede the interpretation of parametric models of neural activity.

Beyond research, I'm...

Python Machine Learning Fundamentals: Parts 1-2

February 21, 2024, 9:00am
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Elijah Mercer

Consultant
School of Information

Elijah Mercer is a Master's student in the School of Information. He is particularly interested in using data to drive results for marginalized communities. His interests are in the field of criminal justice, policy and juvenile justice.

Chirag Manghani

Consultant
School of Information

Chirag is a 2nd year graduate at the I-School. Proficient in Python, Java, R, and SQL, he navigates software application development, machine learning and data science. His keen interest lies in data analysis and statistical methods, driving him to bridge theory and practice seamlessly. Chirag's dedication to excellence, adaptable mindset, and innate curiosity define him as a dynamic problem solver in the ever-evolving tech landscape.

Anusha Bishop

Consultant
Department of Environmental Science, Policy, and Management

Anusha is a Ph.D. student in the Department of Environmental Science, Policy, and Management with a background in ecology and evolutionary biology. She is interested in genomics, spatial ecology, and computational biology. Currently, she conducts research on landscape and ecological genomics in the Wang Lab. She also has experience as a Teaching Assistant/Graduate Student Instructor for courses on statistics and data science as well as landscape ecology and environmental science methods.

Severin Saenz, MCP

Academic Program Manager III, Consultant
Department of City and Regional Planning

I'm a graduate of the Department of City and Regional Planning. My areas of expertise are affordable housing, k-12 education, and community economic development.

Aaron Culich

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.

Sophie Ruehr

Consultant
Environmental Science, Policy, and Management

Sophie is interested in water and carbon cycling at local, regional and global scales. She uses remote sensing and eddy co-variance data to resolve land-atmosphere dynamics resulting from groundwater use and climate change. Having worked as a reporter and oral historian, she is also interested in human perceptions of environmental change, especially when these differ from scientific findings.

Sohail Kamdar

Instructor, Consultant
Goldman School of Public Policy

I am an MPP candidate and D-lab fellow with 4 years of experience in the education nonprofit sector. My policy interests include housing, education and food access.I have experience in survey design and creation, data collecting, cleaning and storing, and building data analysis tools. I predominantly work in Python and SQL but have experience with R, JavaScript, and Stata.

Nicolas Nunez-Sahr

Consultant
Statistics

I lived in Santiago, Chile until I graduated from high school, and then moved to the US for undergrad at Stanford, where I obtained a Bachelor’s degree from the Statistics Department. I then worked as a Data Scientist in an NLP startup that was based in Bend, OR, which analyzed news articles. I love playing soccer, volleyball, table tennis, flute, guitar, latin music, and meeting new people. I want to get better at mountain biking, whitewater kayaking, chess and computer vision. I find nature astounding, and love finding sources of inspiration.