Yun Huang

Work
- Focused on scaling pricing, monetization, and machine-learning applications at >$B scale
- Highlights include: eCommerce pricing products at Jet.com ($3.3B acquisition), monetization & ML-enabled features at LinkedIn
- Recently lectured at Penn's Analytics & Machine Learning Application course, focused on how firms evaluate rule-based vs. ML features in mitigating online price wars
- See full work milestones below
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Personal
- I'm a U.S. Citizen. Native fluency in English & Chinese Cantonese and Mandarin
- Writers I admire include Noah Smith, Nick Bostrom, and Immanuel Kant. I enjoy science fiction films which provoke thoughts about the complexities of human life, such as The Three-Body Problem and The Prestige‍
- In my free time, I like to run, read, invest in real estate and make coffee
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Interests & Personal Philosophy
- Data: I believe the demand for high-quality training data is underestimated, and we will see the rise of data brokerage markets for AI
- Compute: Compute will drive not only decisions on what should be built, but what actually ships
- AI Research: I follow work on alignment and interpretability research
- Application: I'm tracking how core research labs vs. independent entities will faire in scaling real-world commercial adoption
- Life: I believe that your environment—especially your social and informational networks—shapes who you become more than your conscious choices do. What feels like “intentionality” is often just the emergent effect of subtle, repeated training signals from the people and structures around you

Work Milestones Full List
- 05/2025: Guest Lecturer, Machine Learning Application, Lecture to 500+ in Penn’s Analytics & Machine Learning Application curriculum (ID: OIDD245), focused on trade-offs between rule-based and ML features in mitigating online price wars
- 03/2024: AI Adoption at LinkedIn, Led development of one of LinkedIn’s first internal AI prompt libraries, saving each (600+) ~15 hours / quarter
- 06/2024: Macro Risk Detection & Forecasting (Ukraine War), Identified early signals of advertiser spend pauses during Ukraine War; Led 600+ in creating data signals and integrating into forecasting models, improving accuracy by xx%, enabling early adjustments to plan and churn prevention
- 05/2024: Lead Scoring Product (ML), Collaborated with Data Science in launching lead-scoring ML feature (incl. 3rd-party data integration); increasing conversion in variable group by xx%, generating ~$xM incremental revenue
- 01/2023: Joined LinkedIn to work on monetization and ML-enabled products for Advertising vertical (> $xB Advertising unit)
- 08/2021: Promoted to Pricing VP Chief of Staff in 6 months. Supported leadership decisions on quarterly initiative, prioritized weekly leadership meetings across 30+ in Product, Data Science, and Engineering
- 10/2020: First residential investment in the Greater New York area
- 02/2020: Led evaluation of rule-based versus ML products in mitigating online price wars. Deployed a rule-based system achieving ~2× profitability at ~1/5 of projected resourcing. Built anomaly-detection dashboards identifying ~70% of falsified pricing cases, preventing ~$xM in losses.
- 09/2018: Joined Jet.com ($3.3B acq.), Drove $120M P&L. Launched one of Jet’s first inventory analytics products, reducing access time from days to minutes, increasing supply rate from ~80% to ~95% within weeks. <1% of Cohort to receive accelerated progression & VP placement in Pricing Product
- 2017: Conducted research under Professor Maurice Schweitzer on how emotional states affect decision-making under uncertainty
- 2017: Co-developed one of The New York Times’ first short-audio products, increasing engagement for 'The Daily Podcast'
- 2014–2018: University of Pennsylvania, B.A. in Economics & Psychology (Focus: ML Application). Awarded full $240K merit-based scholarship; Dean’s List
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