Team
AI4RD
Project Concept
Our aim is shortening the diagnostic odyssey for people living with rare genetic conditions. We’re doing this by building software tools to help physicians diagnose rare diseases and improve the clinical workflows around genetic testing. In this hackathon, we’re taking a single part of the clinician’s workflow and automating it using AI models with a clinician-in-the-loop design.
Entry
Status: Submitted
Last saved: September 30 at 5:30 PM EDT
Team Roster
Message board not available for this team yet.
Orion Buske Team Lead RSVP Approved
CEO at PhenoTips
Google cloud setup, prompt engineering, deployment
Computer scientist with a focus on genetics, ML, and healthcare. Trying to build useful and usable software that makes the world a better place.
Looking to network, and connect with others that actively working with LLMs in production settings, esp. in regulated industries (health, finance). Also looking to connect with others that are working hands-on with this tech, to improve skills and get feedback on the current best approaches to play with and adapt current models.
LLMs for extraction and structuring of phenotypic data in medical genetics. We're kicking off a large national project soon with this as a core component, and are looking for a talented ML/AI engineer to support.
Taiwo Adedeji RSVP Approved
Business Systems Analyst at CIBC
Business case development, presentation development, brainstorming
A seasoned business analyst with years of assessing technological platforms to identify opportunities for integration to scale efficiency and productivity.
AI Strategy and Implementation, AI adoption strategy.
Integration project between a financial planning tool and a portfolio rebalance tool.
Also involved in an enterprise AI adoption project.
Mariel Marshall RSVP Approved
Interdisciplinary artist and AI researcher at bluemouth inc.
Design, streamlit app, demo
I am an interdisciplinary artist and AI researcher, and a core member of the experimental performance collective bluemouth inc. My practice bridges art and technology, with current research exploring human–machine intimacy through artificial intelligence.
Human and machine relationships and psychology
Digital intimacy
Creative uses of applied tech and Ai
I’m developing a project that explores human–machine intimacy and relationships, with a focus on how humans can act as AI surrogates in performance art. I’m experimenting with live, interactive formats that blur the line between human agency and machine intelligence.