Machine learning pipelines for cancer detection with Precision Health AI

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Two Sigma

100 Avenue of the Americas · New York, NY

How to find us

Check in at the security desk and make your way to the 3rd floor

Location image of event venue


Join us to hear about Precision Health AI's (PHAI) unique approach to data and their analytics strategy. We'll hear from both the business and technical PHAI team members about data challenges, the importance of domain expertise in oncology analytics, and managing data science deliverables for pharma clients.

Explore how the PHAI team built out a clustering model for non-small cell lung cancer patients + deployed their OncoStage Last Stage prediction model, which stages a patient at their last known time-point, given their full medical history, as well as how they mathematically and clinically validated the model.

Event Schedule:

- Doors at 6:15 pm (there will be someone downstairs checking you in)
- Talk begins promptly at 7 pm with Q&A after
- Networking & Drinks!

Food & beverages will be available.

------- Sponsored by --------- is doing for ML what Github did for software development. We allow data science teams to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility

About our speakers:

1) Victor Wang, PHAI Director of Client Data Solutions
>>>>> Victor Wang is a Director of Client Solutions at Precision Health AI and has 7 years of experience in a variety of roles in healthcare data. In this role, he works closely with Precision Health AI partners and Precision Health AI data scientists and researchers to shape and support the delivery of data, tools, and custom projects. Most recently, Victor created and managed the delivery of a number of solutions leveraging patient-generated data at PatientsLikeMe, working closely with partners in academia, biopharma, and non-profits to generate insight from data. Victor has been published in Multiple Sclerosis and Related Disorders and has had posters presented at multiple conferences, including ISPOR, the National Network of Depression Centers, and the American Thoracic Society.

2) Karl Rudeen, Data Scientist
>>>>>> Karl's role includes writing queries to respond to pre-sales requests, building proprietary software for the company to use, and creating modeling pipelines. Before Precision Health, Karl got his MS in mathematics. Karl is particularly interested in the theoretical side of Machine Learning.

3) Vito Colano, Principal Software Engineer
>>>>>> Vito wears a number of technical hats at PHAI including backend engineer, dev-ops engineer, ML engineer and technical product manager. Vito's focus is transforming models developed by lead data scientists into fault-tolerant, efficient and client-ready micro-services.