Clare Congdon
Scientific Data And Content Director, Sensor Cloud
Portland, Maine, United States
Summary
👤
Senior🎓
Top SchoolClare Congdon is a machine learning and data science leader with over two decades of research and teaching experience and eight years in industry roles, currently directing scientific data and content for Sensor Cloud at Medidata. She blends deep expertise in evolutionary computation, bioinformatics, and autonomous agents with practical skills in building data pipelines and applying libraries like scikit-learn and TensorFlow to real-world scientific problems. Clare has secured multi-million dollar research funding, led interdisciplinary collaborations across biology, economics, education, and the arts, and mentored dozens of students in computational research. Known for turning existing tools into tailored solutions, she often designs task-specific data structures and adaptive models rather than relying solely on out-of-the-box software. Based in Portland, Maine, she pairs rigorous academic training (PhD, University of Michigan) with a long track record of producing reproducible, hypothesis-driven analyses for biomedical and energy systems.
8 years of coding experience
22 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of MichiganBA, Mathematics, BA, Mathematics at Wesleyan University
Github Skills (21)
elections6
css5
bootstrap5
javascript5
finance4
django4
html4
norm3
protect3
reward3
bootstrap-theme3
python2
translate2
ai-platform2
machine-learning1
Programming languages (7)
Github contributions (5)
OpenMaine/campaign-finance
Aug 2019 - Oct 2019
Initially, campaign finance information for the 2019 Portland Mayoral Elections.
Contributions:18 commits, 1 PR, 16 pushes in 3 months
financeportlandcampaign-financeelections
OpenMaine/Leadership
Dec 2019 - Jun 2023
Contributions:7 pushes in 3 years 6 months
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