Will Yin
San Francisco, California, United States
5K followers
500+ connections
Experience
Education
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Stanford University
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Dropped out in 2019 to start a company. Graduate coursework:
* Large-Scale Neural Network Modeling for Neuroscience (CS 375)
* Mining Massive Data Sets (CS 246)
* Reinforcement Learning (CS 234)
* Theoretical Neuroscience (APPPHYS 293)
* Computation and Cognition: The Probabilistic Approach (CS 428)
* Computational Models of the Neocortex (CS 379C)
* Convolution Neural Networks for Visual Recognition (CS 231N)
* Machine Learning (CS 229)
* Philosophy of Neuroscience…Dropped out in 2019 to start a company. Graduate coursework:
* Large-Scale Neural Network Modeling for Neuroscience (CS 375)
* Mining Massive Data Sets (CS 246)
* Reinforcement Learning (CS 234)
* Theoretical Neuroscience (APPPHYS 293)
* Computation and Cognition: The Probabilistic Approach (CS 428)
* Computational Models of the Neocortex (CS 379C)
* Convolution Neural Networks for Visual Recognition (CS 231N)
* Machine Learning (CS 229)
* Philosophy of Neuroscience (PHIL 167D)
* Experimental Neuroscience (NSUR 249)
* Literature of Psychosis (PSYC 82)
* Real Analysis (MATH 171) -
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Volunteer Experience
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Healthcare AI Accreditation Advisor
URAC
- 6 months
Advisory member in developing the nation’s first accreditation for AI in healthcare organizations.
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Research Speaker
The Nobel Prize
- 1 month
Science and Technology
Invited to the 2017 Nobel Prize Ceremony to present research titled "Portable, Low-Cost Tattoo-Based Biosensor for the Non-Invasive Self-Diagnosis and Quantification of Atherosclerosis".
According to the European Union Contest for Young Scientists: "The Stockholm International Youth Science Seminar (SIYSS) is an annual weeklong event for international young scientists, arranged in connection with the Nobel festivities by the SIYSS Committee of the Swedish Federation of Young Scientist in…Invited to the 2017 Nobel Prize Ceremony to present research titled "Portable, Low-Cost Tattoo-Based Biosensor for the Non-Invasive Self-Diagnosis and Quantification of Atherosclerosis".
According to the European Union Contest for Young Scientists: "The Stockholm International Youth Science Seminar (SIYSS) is an annual weeklong event for international young scientists, arranged in connection with the Nobel festivities by the SIYSS Committee of the Swedish Federation of Young Scientist in collaboration with the Nobel Foundation. ... With its connection to the Nobel Prizes, SIYSS is widely considered the most prestigious youth science event in the world." -
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Professional Voice Over Artist / Actor
Self-Employed
- Present 7 years 5 months
Radio commercials, sports commentary, audiobooks.
Projects
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Low‐Cost, Portable Paper‐Based Diagnosis of Alzheimer’s Disease: Targeting Aβ Oligomers in the Brain Using Polymeric Nanoconjugates as Artificial Biomarkers
- Present
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Portable, Low-Cost Tattoo-Based Biosensor for the Non-Invasive Self-Diagnosis and Quantification of Atherosclerosis
- Present
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Hybridized Manganese Dioxide & Gold-Iron Oxide Nanoparticle Inhibition of Tumor Growth via Radiosensitization and Tumor Microenvironment Control
- Present
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Anthony Scarpone-Lambert, BSN, RN
Fun fact: Brendan, Adni's technical co-founder, was in the second batch of Y Combinator ever. YC S06! He also has a previous successful exit (sold to UnitedHealthcare), patented an AI algorithm before it was cool, and is a published author... NBD! How has the startup ecosystem evolved over the past 20 years? Brendan shares his wisdom below. 💭 #startups #startupfounder #ycombinator #entrepreneur
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Max Pog
How AI is changing venture building + numbers & best practices of PSL startup studio ($50M AUM studio funds + $180M AUM venture funds): 1) 3 dedicated studio funds: $12M (2015) → $16M (2018) → $20M (2023) for a 25-person build team (salary, sprints, infrastructure). Venture arm: $80M (2018) + $100M (2021) — invests in external startups and PSL studio spin-outs (but never prices later rounds). Geographically focused on the Pacific Northwest. 2) 5-stage company creation funnel: – Ideation (problem hunt, AI research),~4,000 ideas – Validation (customer calls, landing page), 470 validated ideas – Creation (MVP, sales), 50 created products – Spin-out (legal, PSL seed round, CEO equity), 41 spin-outs – Scale-up (external VC funding, recruiting). 37+ scale-ups with external funding. 3) Throughput: 4-6 new spin-outs per year target. Typical time of a startup in the studio: 3–4 months. Fastest build ever: 6 weeks. At any moment: ~2 projects in Creation, 3-5 in Validation. 4) How AI is shrinking Ideation & Validation phases with 2 PSL internally created tools: – Spark – researches the market, auto-drafts decks & landing pages, creates an initial ICP list, then A/B-emails prospects until it gets 10 yes/no signals. Founders start with data, not vibes. – Mesh – maps 70,000+ operator/investor contacts of the PSL team, scores fit, then sends emails and tracks reply rates; the warmest path shows up as a Slack thread the same day. Together they compress “customer proof + talent hunt” to < 24 h instead of 2-3 weeks earlier. 5) Seed checks. Non-AI spin-out: $300-500K from PSL Ventures. AI spin-out: $1.5M co-led ($750K PSL Ventures + $750K AI Studio Fund with Mayfield). Follow-on rounds are syndicated — outside VCs set price; PSL follows its pro-rata. 6) Typical equity split is 50/50 between studio & founding CEO. But can vary a bit based on circumstance (founder track record, founder-idea fit narrative, existing work done by the founder prior to the Studio engagement...) 7) The 4 founder archetypes PSL is partnering with: – Successful repeat founder (typically, 40-50 y.o.) They value the speed & the focus, which is possible due to the studio team + higher conviction in an idea you will bet 5+ years of your life on. – Product Manager to CEO (~25-40 y.o.) They value studio expertise and support as a first-time CEO. They can also find some strong ideas inside the studio if they don't have one. – Young Tech Builder (YTB) < ~30 y. — typically miss and undervalue a new company's business development/sales roles. Studio helps with it. – Corporate exec/domain expert. They know how to get the maximum from the corporate partner but need support as a first-time CEO. Watch the full interview with T. A. McCann – Managing Director @ Pioneer Square Labs to learn insights about venture building with AI and managing a startup studio: youtu.be/YP-i5mhXNiY Bonus from PSL: Would you like to see a demo video of how Spark works? I can DM the link if interested
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Jackson Fordyce
Microsoft's new AI diagnoses diseases 4x better than your doctor. But, when will hospitals and regulators catch up? On today's episode of Venture Daily, I spoke with Jaimal Soni (Insight Health) about the tipping point where AI doesn’t just assist in medicine, but actually replaces parts of it. We also cover Mark Zuckerberg's Superintelligence Labs team (with members from OpenAI, Anthropic, and Google's DeepMind) and Oracle's record-breaking $30B cloud deal. Check out the full episode below! YouTube: https://lnkd.in/gwdmnE66 Spotify: https://lnkd.in/gEUxZxaY
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Lauren Bilbo
At Logical Health, we’re combining AI with declarative, logic-based programming to deliver highly accurate results in healthcare. Super cool to see MIT exploring a similar approach: their new paper Teaching LLMs to Plan shows how step-by-step logical reasoning boosted planning accuracy from 28% to 94%. The future of AI isn’t just bigger models. It’s smarter, more reliable ones that align with real-world needs. Arxiv Link: https://lnkd.in/gnN-XYGs
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Tom Bachant
Sometimes building an AI product like Unthread can feel abstract and intangible. That's why you've gotta sit down, and dig into the numbers like you're some sort of statistical archaeologist. We're SUPER excited to be publishing a report on how a top telemedicine provider is using Unthread across IT + Customer Success to drastically improve the experience for customers & patients. Some highlighted metrics we found: • Resolution time across all teams using Unthread improved by 86% • The time to onboard a new account was cut in half • This all means thousands of hours redirected away from admin work and over to better patient care and customer experience. To appease the LinkedIn algo gods, the link is in the comment below ⬇️
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JT Benton
If you're building a venture studio, exploring the model, or trying to figure out if it's right for your institution, I want to save you some time. 9point8 Collective recently built two tools I think you'll find useful: Studio GPT. We trained an AI on everything we know about venture studios. Fund structures, governance, portfolio strategy, the whole taxonomy. It's free and you don't need an account. Just go ask it something: https://lnkd.in/g_Y2NYqt Studio Readiness Assessment. Answer a few questions and our classification engine tells you where you sit across 12 lifecycle stages, what to focus on, and which resources make sense for you right now: https://lnkd.in/guT--eAV The site also has dedicated pages for every product we offer, from Foundations to full Studio Design engagements for institutions. Take 5 minutes and see where you land: https://lnkd.in/gPtv8m3a
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Young Sohn
Exciting to see the incredible progress from Peptone, a company we’ve backed since the early days at Walden Catalyst Ventures. Peptone just announced Peptron-O, developed in collaboration with NVIDIA — a groundbreaking AI engine that brings ensemble-first structure prediction to the disordered proteome. This is a major scientific and technological milestone, targeting one of the most complex and previously inaccessible areas of biology: intrinsically disordered proteins (IDPs). By shifting the paradigm from static models to dynamic ensembles, Peptron-O opens new doors for drug discovery — especially in areas like oncology and neurodegeneration, where IDPs play critical roles. We’re proud to have supported Peptone on their mission to build the infrastructure for next-gen molecular physics. Their work is a great example of how deep tech can transform life sciences. Read more about the announcement: 👉 https://lnkd.in/eygnKQ67 #AI #Biotech #DrugDiscovery #DeepTech #LifeSciences #WaldenCatalyst #Peptone #NVIDIA #PeptronO with: Kamil Tamiola, Ph.D. Francis Ho Shankar Chandran Nicolas Autret Andy Kau Roni Hefetz Victoria Slivkoff
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Jordan Steiner, CFA
"Build the event you wish existed" That's what we at Monadical did last week at #NYTW. We wanted an AI Engineers discussion for Engineers. There's always a lot of events out there for VCs to network, or for startups to learn about G2M, but very little on lessons learned from actual engineers in the field. So that's the event we hosted. Big thank yous to our awesome panel, Roy Pereira, Ben Cohen and Corey J. Gallon. Here's the key takeaways and the AI tools we're using. 🚀 All three panelists independently called AI Agents the most transformative LLM application they’ve used. They specifically called out Claude 3.5 Sonnet for its accuracy and reliability. 🪨 We dug into how LLMs are “jagged”, not general. They can be shockingly good at some tasks and completely fail at others. Everyone agreed: good evaluations are critical (and hard.) 🧪 Corey noted how public benchmarks and reality are two different things. Most public evals are saturated or gamed. ♊ Ben emphasized that AI projects are actually two projects: building the tool and building the evaluation process. 🧱 We explored how falling dev costs may impact startup defensibility and labor demand. Roy shared that founders are already shifting strategies in response. ⚒️ In a world of daily AI launches, the panel discussed how they decide what’s worth attention, and what’s just noise. They called out tools like Goose, Aider, Claude Code, and Monadical’s own Cubbi, which helps run agentic workflows safely in dev environments. (links in the comments). CTA: What would you want to hear in an AI Applied Engineering talk you attended?
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