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Jon Wang

Co-Founder at Assort Health

Jon Wang is a seasoned professional with a diverse background in healthcare, data science, and technology. His mission is to make exceptional healthcare accessible to all individuals at any time. Jon pursued an MD-PhD at the University of California, San Francisco, and engaged in machine learning research at Stanford University, resulting in seven peer-reviewed publications and recognition through the Gates-Cambridge Award for a CS PhD. He has a strong educational foundation, including studies in Bioinformatics at Stanford University and a brief stint at Y Combinator. Jon's academic journey began at the University of Minnesota and Mounds View High School.

Highlights

Jul 17 · linkedin

🚀Assort Health is looking for a Founding GTM lead 🚀

Top healthcare organizations partner with us to improve patient access and reduce patient hold times-- we're leading the market in deployments for our generative AI built specifically for the healthcare call center.

We are looking for ambitious, gritty, and fast learners to become growth leaders at our company. As our first hire, you'll have a unique opportunity to significantly impact our growth and evolve to lead and manage your own teams.

We are backed by top investors, including Quiet Capital and healthcare industry leaders from Flatiron Health, Athena Health, Infinitus, and more.

Join us in our mission to make exceptional healthcare accessible anytime, anywhere, and for everyone!

Apply directly via the link below or shoot me a DM!

#hiring #growth #startups #healthcare

Jun 22 · linkedin

Over the past five years have been operating in healthcare and AI. Decided to put together an analysis on #GenerativeAI in healthcare with Ambar at Maverick and Justin at GSR. 🌐 The analysis, published in STAT this morning, details 145 companies in healthcare AI with over $20B in funding and 47,000 employees & features several key entrepreneurs currently innovating in the space. Here are a few takeaways:

🚀 The healthcare market, while traditionally resistant to technological adoption, is at a tipping point. Digital health solutions and AI have been propelled into mainstream healthcare due to the COVID-19 pandemic, labor shortages, cultural shifts, and regulatory changes. 💡 Generative AI, producing new content from existing data, holds the potential to revolutionize healthcare. Applications range from content and code generation to semantic search and chatbots, all helping to streamline workflows and reduce administrative tasks. 🔧 Yet, challenges exist. From long sales cycles and stringent security requirements to the ease of implementing AI and trust gaps, startups must navigate a complex landscape. 🧠 Even so, they have opportunities that their larger counterparts may lack - agility to penetrate new markets, the capacity to handle disruptive technological changes, and the potential for strategic partnerships. 📝 One sector worth attention is AI-driven note-taking. Intense competition here may yield useful lessons for other emerging generative AI applications. 📈 Lastly, the advent of advanced generative AI could boost operational efficiency, potentially driving a resurgence of tech-enabled services.

With generative AI's immense potential to reshape healthcare, it's a space that demands our attention and understanding. As we navigate this complex but exciting landscape, I am optimistic about the immense opportunity for new innovation.

Updates to come soon on what I’m building next 🔨. If you know any engineers who are excited about genAI and healthcare technology, please send them my way -- we're hiring!

Special thank you to the entrepreneurs, operators, and investors who contributed to this report: Galym Imanbayev, MD, Sherman L., Betty Chang, Jonathan Mak, Benjamin Lee, Andrew Trister, MD PhD, Dereck Paul, MD, Ram Swaminathan, Gabriel Jones, David Mou MD MBA, Sean Raj, MD, Will M., Jeff Elton, Jia Li, Ali Diab

Written with the help of GPT-4 ;)

#AI #startups #digitalhealth #innovation #venturecapital

Jon Wang
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Location

San Francisco Bay Area