Teaching and Mentoring
Brown University
Assistant Professor of the Practice of Data Science and the Director of Industry and Research Engagement 2024
DATA1050 Introduction to Data Engineering
DATA2050 Data Science Practicum
University of California, Berkeley
Adjunct Faculty at the School of Information, Masters in Data Science (MIDS) 2021
W205 Introduction to Data Engineering
Pinterest
Designed and taught courses for Data Education for incoming Data Scientists, Analysts and Software Engineers
A/B Experimentation and Statistics (eg. Causal Inference)
How to extract the data you need (eg. SQL, Python)
User Behavioral Analysis (eg. EDA, ML modeling techniques etc.)
Organized and implemented company wide experimentation training for Product Managers, Software Engineers, and Analysts
Engineering Mentor as part of the Pinterest mentorship program
Insight Data Science
Advisor/Mentor for PhD and Post Doctorates transitioning into the data science industry
Brookhaven National Laboratory
Mentor for Science Undergraduate Laboratory Internships (SULI):
Vittorio Loprinzo (Johns Hopkins University) - Improvement of a diffraction-limited, hyperspectral laser beam induced current probe station for thin-film photovoltaics (Summer 2014)
Emily G. Yang (Pomona College) - High-resolution spatial mapping of thin-film photovoltaic cells (Summer 2013)
Stony Brook University
Assistant Lecturer, Department of Physics and Astronomy
PHY300 - Waves and Optics - Teaching Assistant and Grader (Spring 2012)
PHY431 - Nuclear and Particle Physics - Grader (Spring 2012)
PHY121/123 - Physics for Life Sciences - Teaching Assistant (Fall 2010, Spring 2011, Fall 2011)
Franklin & Marshall College
Teaching Assistant, Department of Physics (Spring 2007 - Spring 2010)
PHY 111 - Fundamental Physics I
PHY 112 - Fundamental Physics II
PHY 222 - Electronics
PHY 223 - Modern Physics
PHY 226 - Analytical Mechanics
PHY 333 - Electric and Magnetic Fields
PHY 334 - Mathematical Methods of Physics
PHY 344 - Quantum Mechanics