Michael Mariscal
Data Scientist
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMichael Mariscal is a data scientist with nine years of research and industry experience applying machine learning and signal-processing to complex time-series and geospatial problems. He blends a strong academic foundation from Cornell and Stanford—where he earned an NSF GRFP and developed efficient convolution methods for neural data—with hands-on production experience building Python/AWS/Postgres/Docker pipelines at AreaHub and Shift Technology. Michael has a track record of turning domain knowledge into measurable impact, from proposing potential EEG biomarkers to automating environmental data ingestion and analysis. Curious about practical LLM use, he evaluated and implemented solutions to reliably format text outputs for downstream systems. Based in Cambridge, he brings a hybrid research-to-production mindset well-suited for data-driven product teams.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Behavioral and Evolutionary Neuroscience, Data Science Minor, Master's degree, Behavioral and Evolutionary Neuroscience, Data Science Minor at Cornell UniversityBachelor of Science - BS, Human Biology, Computer Science Minor, Bachelor of Science - BS, Human Biology, Computer Science Minor at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (38)
pose9
pac8
amplitude8
mahjong8
frequency-domain8
crossword7
coupling6
computer-vision6
batch6
mojo6
gleam6
pose-estimation6
openface5
co-simulation5
parser-generator5
Programming languages (4)
Github contributions (5)
mgm248/data_driven_regions
Nov 2022 - Dec 2022
Contributions:34 commits, 25 pushes, 1 branch in 1 month
mgm248/ephys_analysis
Oct 2022 - Jan 2023
Contributions:16 pushes, 7 branches in 2 months
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