Portfolio

Collection of my work

Memorial Sloan Kettering

Consultant, Instructor

2025

Co-designed a new curriculum to teach scientific computing using Python to incoming PhD students in Cancer Biology and Cancer Engineering.
Will deliver the course in Fall 2025.

Mozilla

Consultant

2017-2022, 2024

Professional Services: Data Science

Revenue Intelligence (2024)

Conduct experimentation for new machine-learning-powered experiences in address bar in the Firefox browser.
Conduct large-scale data analyses across hundreds of millions of users for our revenue-producing products and our advertising business.

Consultant

Designed a curriculum teaching open-source LLMs.
Delivered course to students at San Jose State University in partnership with Mozilla.
Led a hackathon to design apps using open-source LLMs for social good.

C'est La Vie

Creator

2024-Present

A digital scrapbook and life Log.

discovery and recommendations, curated by friends

The Recurse Center

Recurser

2023, 2024

Summer 1 Half-Batch.

Winter 1 Full-Batch.

Projet Vie.

State Space Labs

VP, Head of Research and Development

2022

Delivered and launched a mouse sensitivity finder for first-person shooter gaming in a joint product venture between the core product team and R&D based on my team’s research.
Led a team of five research scientists to incorporate innovative research into Aim Lab, the flagship aim trainer product.
Led and coordinated digital health initiatives to create cognitive assessments for altered states of consciousness such as concussion.

American University

Senior Adjunct Professorial Lecturer

2021

Statistical Programming: R + Tidyverse

Taught a course for undergraduate and graduate students on the foundations of the R programming language.
This course also taught the Tidyverse, a collection R packages for data wrangling.

New York City Community Board (BKCB1)

Board Member

2020-2022, 2025-Present

2020-2022

I served on the following committees:

Capital Budget Committee
the Board Budget Committee
the Education committee
Outreach Committee

I created and managed the community board Twitter account (@BrooklynCB1).

2025-Present

I was recently appointed to Brooklyn CB1 on May 5, 2025. This section will be updated once I've been sworned and assigned committees.

RStudio

Certified Trainer

2019

Gotham Data Clinic

Executive Director

2019-Present

Brain Imaging Data Structure

BIDS-MEG contributor

2017-2020

Future of Research

Board Member

2017-2018

Served on the board of a nonprofit advocacy group for early-career scientists.

Board Alumni

BrainWaves

President of Advisory Board

2017-2022

President of Advisory Board

Product Manager

Democratizing Cognitive Science

Science Hack Day

Co-Organizer

2017

QueerHack

2017

Mozilla

Staff Data Scientist

2017-2022

Product Management, ML (2021-2022)

Led new product development to incorporate on-device machine learning in applications.
Enabled robust telemetry instrumentation to enable contextual recommendation within Firefox.
Mentored students at the AUC Data Science Initiative on responsible and trustworthy AI within product development and design.

Product Data Science (2017-2021)

Conducted experimentation for new product development for the address bar in the Firefox browser.
Conducted large-scale data analysis, and modeling across hundreds of millions of users using non-parametric methods.
Used mixed methods of browser telemetry data and user surveys to surface user insights for product recommendations.
Mentored two data scientist interns on exploratory data analysis and data science practices.
Launched and managed the Data@Mozilla blog.

Executive Summary

At Mozilla, I supported our Revenue and Business Development teams with analytic support. Relatedly, I worked with our product team on the Awesome Bar, our combined address bar and search product within the Firefox Browser, and researched how to improve the user experience with finding things on the web.

Previously, I have worked with one of our product development teams, Test Pilot, to rapidly iterate on new features for the browser. Within the company, I taught introductory courses in data visualization and data analysis to build product intuition and inform product decisions. I also served as a data steward to help safeguard user privacy and control over their data.

March for Science

National Co-Organizer: Co-Director of Partnerships

2017

Co-led a team to build a coalition of >300 scientific societies, NGOs, science museums, and non-profits to mobilize their members to march.
Organized and coordinated one of the largest science demonstration with 100k marchers in Washington, DC and over a million marchers in 610 cities worldwide.

Stanford University

Mozilla Fellow/Postdoctoral Scholar

2016-2017

During my 2016-2017 Mozilla Fellowship for Science, I was a national co-organizer for the inaugural March for Science in Washington, D.C., which amassed 100k advocates for Science, and for evidence-based decisions in policy-making.

During my postdoc at Stanford, I was a core-contributor to (1) the Brain Imaging Data Structure project for the inclusion of MEG into the specification (our paper), and to (2) the MNE-BIDS project to provide a software implementation (our paper).

Mozilla Science Lab

Fellow for Open Science

2016-2017

10-month fellowship

DIYSciThai

Workshop Creator; Co-organizer

2016

DIYSciThai was an Open Science workshop taught in Bangkok, Thailand in June 2016. This two-day workshop is the basis of an open science initiative to provide an integrative curriculum to teach cognitive science through experiential learning.

This DIY workshop featured building research electronics (eye-tracker and EEG) from open-source hardware, and low-cost electronics.

This workshop was supported by grants from Fulbright Thailand, the Open and Collaborative Science in Development Network (OCSDnet), and NYU.

Photos Project Summary