Teaching and Mentoring

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 

Tutor, 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