Resume
Relevant Industry Experience
Meta Platforms
Research Scientist (ML Engineer), New York NY
Central Social Impact Ecosystems: Ranking Team (Current)
Generative AI: Trust Team (Past)
Instagram Well-being Fairness Team / Central Social Impact: Fairness Applications Team (Past)
Creator ML Team (Past)
News Tab Growth Team (Past)
Software Engineering Intern, New York NY
News Tab Recommendations Team
Pandora Media, Science Intern - Listener Science, Oakland, CA
▪ Created & tuned recommender channel based on implicit signals & precision-weighted factorization
▪ Built a prototype that allowed systematically qualitatively and qualitatively testing of model iterations
▪ Set-up code for the recommender radio channel to be deployment-ready for live AB testing
Poshmark, Data Science Intern, Redwood City, CA
▪ Employed causal inference & ML methods to determine the economic efficacy of the site’s social features
▪ Examined the formation and evolution of users’ relationships & predicted if they resulted in purchases
▪ Explored community structures & tie formation locations through temporal analysis of the site’s network
▪ Conducted qualitative analyses of users’ experiences and their own comments – in order to devise strategic recommendations that could both benefit the goals of the company and its users
FCB New York, Senior Social Media Analyst, New York, NY
▪ Tracked efficacy of the FDA’s “The Real Cost” anti-smoking campaign across four social media channels
▪ Determined common topics on social media around campaign PSAs, vaping, and smoking in general
▪ Identified central influencers in conversations about smoking using network analysis
▪ Coordinated with social media marketing partners to effectively guide the FDA's social media strategy
Converseon Inc., Social Media Analyst, New York, NY
▪ Explored topics on social media for Fortune 500 companies including Twitter, IBM, and Nissan
▪ Identified key influencers across various markets using network analysis of social media data
▪ Managed a team of freelancers and Mechanical Turk users for data coding, and ensured reliability of that data
YPulse, Marketing Intern, New York, NY
▪ Devised, programmed, and analyzed youth-targeted surveys for major entertainment corporations
▪ Led community management with survey participants
Aug ‘21 – Present
June ‘20 – Aug -’20
May ‘19 – Aug ‘19
May ‘18 – Aug ‘18
Aug ’15 – Jul ‘16
Jul ’13 – Aug ‘13
Jul ’12 – Aug ‘12
Education
Cornell University, Ithaca, NY
Ph.D. Candidate in Information Science (On Leave)
Masters Degree - Information Science (March 2020)
Committee Members: Michael Macy (Chair), Lillian Lee, Mabel Berezin
Rutgers University,New Brunswick, NJ
Bachelors Degree - Majors in Sociology and Communications, Minor in Philosophy (May 2013)
Advised by Paul McLean; Graduated Summa Cum Laude
Aug '16 - Present
Sept '09 - May '13
Research Experience
Opinion cascades and the unpredictability of partisan polarization
Michael Macy, Natalie Tong*, Sebastian Deri*, Alexander Ruch* (*equal authorship)
▪ Funded by NSF Award #1756822
▪ PI: Michael Macy, collaborating with Alexander Ruch and Sebastian Deri
▪ Using the “multiple words” experimental design of Music Lab (Salganik, Dodds, Watts, 2006), we found that arbitrary & unpredictable correlations can occur between opposing political identities & beliefs/hobbies/lifestyles
Published in Aug ‘19
Arbitrariness and unpredictability among demographic correlations
▪ Funded by NSF Award #1756822
▪ PI: Michael Macy, Unpublished due to Negative Result
▪ We found that the unpredictable arbitrary correlations discussed in Macy et al. (2019) between groups and beliefs/hobbies/lifestyles did not extend to demographics - likely due to lack of salience.
Finished in Dec ‘20
Conduits to the Alt-Right – Lifestyle drivers of Alt-Right participation on Reddit
▪ In collaboration with Michael Macy and Lillian Lee
▪ Exploring self-selection vs. influence in populist community participation on Reddit (especially among alt-right members) – did future populists hold populist ideas when they joined Reddit, or were they radicalized over time?
▪ If users are radicalized over time, does the mechanism primarily involve participation in increasingly-radical segments of lifestyle communities (e.g. gaming), or in increasingly-radical political communities?
Ongoing
Tracking critical-mass outbreaks in social contagion during the Arab Spring
▪ PI: Michael Macy, in collaboration with Christopher Cameron, Wei Dong, Tom Davidson, Minsu Park, Tony Sirianni, and Chris Browne.
▪ This project was funded by a MINERVA grant
▪ Determined if the start of and changes to the Egyptian Arab Spring can be predicted using the adoption rates and dynamic network properties of viral political hashtags on Twitter
Sept ‘16 – Dec ‘17
The impact of network topology and the navigation of norms on popularity on Reddit
▪ Undergraduate Thesis for the Rutgers University Sociology Honors Program, advised by Paul McLean
▪ Explored the interaction between network structure, norms, and popularity on the site, Reddit
▪ Observed differences in behavior between “one-hit wonder” and “celebrity” users
▪ Awarded the Henry Rutgers Scholar Award for the project
Sept ’12 – May ’13
The ethnically ambiguous generation: perceptions of interracial Families in television commercials
▪ Undergraduate Research Assistant for Crystal Bedley and Catherine Lee
▪ Explored the presence of ethnically ambiguous roles in ads and their efficacy in targeting minorities
▪ Gathered and coded data on uncertainty in the perception of race and ethnicity in TV and online ads
Sept ’12 – May ’13
A theme analysis of issues reported by adult children of alcoholics in online support forums
▪ Undergraduate Research Assistant for Marie Haverfield and Jennifer Theiss
▪ Identified and coded types of support in an online community for adult children of alcoholics (ACoAs)
▪ Found that ACoAs often expressed support in terms of solidarity – often focusing on seven themes (e.g. problems with romantic relationships, low self-esteem, or lack of a connection with one's inner-child)
Sept ’11 – Dec ’11
Other Experience
Computational Social Science Reading Group (Co-founder), Ithaca, NY
Cornell University LGBTQ Resource Center Mentorship Program (Mentor), Ithaca, NY
Summer School Series on Methods for Computational Social Science, Sardinia, Italy
Sept ‘18 – Jun ‘20
Sept ‘18 – Dec‘18
Jul '17
Honors and Awards
Cornell University
▪ NSF Award #1756822 (PI: Michael Macy): Testing Unpredictability with Multiple Worlds
▪ NSF Graduate Research Fellowship Program Award (2017-Present)
▪ Information Science Fellowship (2016-2017)
Rutgers University
▪ Graduated Summa Cum Laude
▪ Henry Rutgers Scholar Award (2013)
▪ Sociology Honors Program (2012-2013)
▪ The School of Arts & Sciences Academic Excellence Award (2011-2013)
Skills
▪ Programming Languages – Python, R, Scala, Hack, PHP
▪ Machine Learning Frameworks- PyTorch, TensorFlow, scikit-learn
▪ Database Languages – Presto, Hive, PostgreSQL, MySQL, Google BigQuery, NoSQL, MongoDB,
▪ Python Libraries – SciPy, NumPy, pandas, NLTK, PySpark, GraphFrames, Igraph, NetworkX, matplotlib, seaborn, plotly
▪ Experimental Design
▪ Grant Writing Experience
▪ Amazon Mechanical Turk
▪ Network Visualization Suites – Gephi, Cytoscape, Pajek
▪ Survey Creation Suites – Qualtrics, Globalpark EFS, SelectSurvey.NET, SurveyMonkey
▪ Spoken Languages - English (native), Shanghainese (elementary), Japanese (elementary), Spanish (elementary)