Ian W. Taylor is the Co-Founder and CEO of Fawkes Biodata. With over 15 years of experience in the healthcare and biotechnology sectors, he specializes in patient-centered medical data ownership, value-based care, and artificial intelligence. Ian holds a Ph.D. in Molecular Genetics from the University of Toronto and a BSc from The University of British Columbia. His expertise encompasses healthcare strategy, machine learning, and biotechnology, positioning him as a key player in innovative healthcare solutions. At Fawkes Biodata, he leads projects that leverage AI technologies to enhance outcomes analysis and integrate molecular biology data into healthcare platforms.

Healthcare AI, machine learning, molecular biology, biotechnology, value-based care, patient data ownership, outcomes-based analysis, health insurance technology, legislative healthcare advocacy

At Fawkes Biodata, Ian Taylor is leading the development of patient-centered medical data ownership solutions, leveraging artificial intelligence and machine learning technologies. The company appears to be focused on innovative healthcare data platforms, with potential projects involving AI-driven outcomes analysis, value-based care technologies, and molecular biology data integration.

I recently graduated from York University with a Master’s in Computer Science (AI specialization) and currently work as a Full Stack Engineer at Fawkes Biodata. Prior to my master’s, I was a Data Scientist at Inspektlabs, an insurtech automation company.

Conversational AI, AI Grounding, Prompt Engineering, LLM tuning

Using Google's Live API, VectorAISearch (coupled with a datastore) and URLContext to generated responses grounded on trusted domain data.

From CT, USA, I am an AI Engineer at Fawkes Biodata. I recently completed my Masters in AI at Northwestern where I worked under Dr. Lee Cooper in his Computational Pathology lab, finetuning foundation models for segmentation tasks. Previously, I was a data scientist at a health tech company C8 Sciences. For fun I like to train computer vision models and self-host with my 4090s.

I am especially interested in advancing the reliability of AI agents and exploring how to design robust systems capable of orchestrating complex multi-agent pipelines with minimal failures. I’m also interested in learning about frameworks like DSPy for prompt optimization.

At Fawkes, I’m building AI agents that automate medical record retrieval by identifying a patient’s health care provider via webscraping, sending release forms to patients and health care providers, and processing incoming records over email. The key innovations lie in the infrastructure for human-in-the-loop oversight and observability to ensure the system is reliable.

- Started my career in quant finance, quickly realized I didn't want to spend my life building trading algos and instead wanted to do work that helps people - Went back to school and did a PhD where my researched focused on helping improve the treatment of kids with brain cancer with AI - Co-founded Fawkes Biodata to help unlock siloed medical records using AI, to expedite medical research

Intersection of AI and medicine

Using Gemini to build an AI system to help patients better deal with their health