Sepal AI co-founder who ran go-to-market and operations; earlier built Turing's foundational LLM-trainer business and managed operations for 500+ AI trainers. Her LinkedIn headline now shows Mercor.
medium confidenceAt Sepal AI since 2024Updated 2026-09-19
Background
Born in Chengdu, raised in Toronto. BS industrial engineering, University of Illinois Urbana-Champaign. Started at McKinsey (San Francisco), scaled last-mile logistics at One Acre Fund in Kenya, then led AI initiatives at Turing. Knight-Hennessy Scholar pursuing an MBA/MPP at Stanford.
What they run now
Current role at Mercor not confirmed by a primary source.
Career
2026 – presentUnconfirmed (account role per aggregators), Mercor
2024 – 2026Co-founder (GTM & operations), Sepal AI
—Consultant, McKinsey & Company
—Logistics operations (Kenya), One Acre Fund
—Led AI initiatives; built LLM trainer business, Turing
—University of Illinois Urbana-Champaign, BS Industrial Engineering
—Stanford University, MBA / MPP (Knight-Hennessy) — Years not confirmed
Recent posts
35 posts archived · most engaged first, then the latest
Today we're excited to share that Sepal AI has been acquired by Mercor.
Sepal started with one idea: the world’s top experts can accelerate human knowledge & capabilities through safe AI. We built Sepal end to end around that idea.
To our research partners: thank you for trusting us in innovating with and scaling some of your most impactful research directions. It’s been an honor to see our collaboration directly impact the world’s leading AI models & evaluations.
To our experts: it’s been a privilege to collaborate and learn from all of you. Our team often has pinch me moments where we spend our day-to-day with thousands of world-leading experts - professors, international olympiad medalists, engineers, clinicians, operators, and industry practitioners across 40+ domains.
& of course most importantly, to our team: thank you thank you thank you - Sepal would not be the research data engine without each and every one of you. 🌱
Our work doesn’t stop here; it accelerates. Thank you for joining us on our journey, onwards towards the next chapter with Mercor.
my last li post got a lot of views so want to add on to gratitudes.
thank you Robi Lin & Steven Shang for being the best cofounders sepal & i could have. thank you for your leadership, for setting our culture, for moving mountains, for being through thick & thin together.
not sure who's ok to be named & tagged, so the rest is anon:
the sepal team - all of you. i often think that the people we work with are the most important thing, because we spend so much of our lives at work. all of you are people i want to spend my life with.
our early research partners (ai researchers & experts) - you know who you are, thank you for betting on us before we were anything.
honestly to everyone who bets on a startup & extends trust - thank you.
& to our domain team leads & ops leads & applied eng - you guys make the ship run. thank you.
to a gsb professor & to a chief ai scientist who've shared the same life mantra: pass it forward; give forward; ask what you can give. thank you for passing forward & showing up with wisdom.
+many more gratitudes (mentors, advisors, investors, friends, family); all to say, thank you ❤️
Come join Sepal 🌱 to safely advance the frontier of AI research & spend your days working on meaningful, audacious problems.
Most impt internal roles we're hiring:
1. Strategic Project Lead
2. ML Engineer & Full Stack Engineer
Short term roles:
We have 80+ active roles on our expert hub page that are first come first serve. We are paying up to $494 / hour (e.g., radiologists) with many roles above $85 / hour for the world's leading experts.
Another photo of the team to drive views to this linkedin post. 📷
i asked the team how to get more people to look at my last linkedin post and our cto said linkedin likes team photos. so hi from some of our sepal people!
An operator who has managed large trainer workforces (Turing, Sepal) and sold to labs; relevant for learning how expert operations scale, not for taste data specifically.
How to reach
Speculative: LinkedIn or Stanford GSB network. Ask about running expert ops and lab account management.
What we could not establish
Whether the Knight-Hennessy profile timing overlaps Sepal