Academic

Scroll down to see more

EDUCATION
​​​​​​​​​​​​​​
Stanford University, M.S. Engineering, Design
The University of California, Berkeley, B.S. Chemistry 
Research within the Somorjai Group and BIDS, Concentration in Data Science

TEACHING​​​​​​​
Fall 2022 - Present - Guest Lecturer at Stanford University and UC Berkeley 
Courses range from Startup Product Management to Advanced Design Critiques 

Winter 2022 & Spring 2022 - ME 216BC: ADVANCED PRODUCT DESIGN 
Teaching Assistant w/ Brett Newman & Bill Burnett 
Summary: Team-based capstone project. Students implement an original design concept and present it to a professional jury.

Fall 2021 - DESINST 242: DECONSTRUCTING IMPACT
Teaching Assistant w/ Deena Shakir and Nina Montgomery 
Summary: We all want to have an impact — even Stanford’s purpose is to “prepare students to...contribute to the world.” But words like impact, purpose, change, and even innovation have lost their teeth. In this intimate seminar, students will put a bite back into these ideas, learning a diverse toolkit of strategies to enable them to make a positive dent in complex ecosystems through companies and capital. 

Winter 2021 & Spring 2021 - MS&E 178: SPIRIT OF ENTREPRENEURSHIP
Teaching Assistant w/ Lecturer Emily Ma and Ravi Belani (Winter 2021) and Toby Corey (Spring 2021) 
Summary: This course uses the speakers to drive research and discussion about what makes an entrepreneur successful including those about venture financing, business models, and interpersonal dynamics in the startup environment. 

Fall 2018 through Winter 2020- Scoot Educator, STEM subjects for grades 5-12 at various SF Bay Area schools. 

Spring 2018- Demography 180: Social Networks
Teaching Assistant w/ Professor Dennis Feehan (Syllabus)
Summary: The quantitative and qualitative analysis of social networks. This course included modeling in Jupyter notebooks and research on how people are connected to one another. 

Fall 2017- Data Science Pedagogy Workshops for Faculty
Workshop Assistant w/ Professor Eric Van Dusen (Syllabus)
Summary: This class helps educators learn how to interpret and communicate data science effectively, to every type of learner. Faculty engage in hands-on usage of diverse data sets including economic data, geographic data, and census data.

Spring 2016- Chemistry 4B: Quantitative Analysis
Laboratory Assistant w/ Professor Michelle Douskey (Syllabus
Summary: This course covers various topics including acid-base and solubility equilibria, oxidation-reduction reactions, thermochemistry, nuclear chemistry and radioactivity, quantum theory, and kinetics.​​​​​​​​​​​​​​
Back to Top