Io Flament
R&D AI/ML Product Engineering | Medical Imaging | Responsible AI
- Role
- Principal Engineer - Ai Ml Productization, Optimization & Quality Team - R & d Data Science at Johnson & Johnson Innovative Medicine
- Location
- Brooklyn, NY, US
- LinkedIn followers
- 500 followers
About Io Flament
I’m a technologist driven by opportunities leveraging technical progress for societal impact. I have a research background in computational visual neuroscience, and extensive experience building and operationalizing end-to-end product delivery of data-driven and AI/ML systems to tackle pressing challenges - across domains including urban planning, disaster management, healthcare, and medical research. My primary focus has been in healthcare, developing AI/ML frameworks that support clinicians in assessing the severity of diseases (mainly musculoskeletal and gastrointestinal) from patient medical imagery. Currently, I shape technical strategy and drive medical research software products from proof-of-concept through production into scalable, risk-aware systems that are robust, compliant, and integrated into scientific workflows.
Experience
Principal Engineer - Ai Ml Productization, Optimization & Quality Team - R & d Data Science
Johnson & Johnson Innovative Medicine
Jan 2024 — Present
Shaping technical strategy and driving research software products from proof-of-concept through production into scalable, risk-aware systems that are robust, compliant, and integrated into scientific workflows. Products include Software as a Medical Device solutions which evaluate potential diagnostics for assessing disease severity (immunology, neuroscience, oncology). For example, a software solution our team developed validates novel endpoints that could transform endoscopic assessment of disease activity in IBD, allowing researchers to more accurately pinpoint the location and extent of diseases, and potentially leading to more effective treatment strategies- Connecting research insights with production-grade engineering to deliver end-to-end solutions and enable teams to tackle complex problems effectively- Building, deploying, and managing AI systems at scale.
Education
University of Amsterdam
Research Master of Science (M.Sc.), Neuroscience, Computational Visual Neuroscience
Utrecht University
University College Utrecht - Bachelor of Science (B.Sc.), Biology
Skills
- Data Mining
- Data Analysis
- R
- Weka
- Teaching
- Matlab
- Time Series Analysis
- Unix/Linux
- Neuroscience
- Statistics
- Research
- Shell Scripting
- Python
- Big Data
- Git
- Eagle Pcb
- Data Processing
- Data Science
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