Michael Mariscal Email & Phone Number

Cambridge, MA, US

• Developed automated web scraping pipelines using Python, AWS, PostgreSQL, and Docker to periodically extract and process environmental datasets
• Led efforts to expand environmental dataset coverage, researching and implementing environmental indicators
• Evaluated use of large language models (including local LLaMA and OpenAI’s API) and regular expressions for automatically formatting text outputs, implementing a regular expression based solution to ensure over 90%.

• Applied machine learning to metrics derived from neural data, allowing lab to evaluate relative importance of metrics for odor coding
• Designed and implemented convolution method to quantify key metric, resulting in significantly more efficient and accurate measurement
• Utilized Python to analyze time-series data to detect neural spikes and oscillations
• Created and shared a series of tutorials on electrophysiological data analysis
• Awarded NSF GRFP fellowship, providing $138,000 of financial support

Greater Boston Area

• Performed signal processing, outcome quantification and statistical analyses to compare EEG datasets of development and neural disorders
• Designed novel metric resulting in a potential biomarker of a rare genetic disorder (p<.0005)
• Upgraded lab-designed data processing pipeline to integrate with cutting edge open source projects

• Predicted contagious yawning behavior using concentration of a social neuropeptide
• Implemented automated tracking and quantification of facial movements, allowing for automation of time intensive behavioral scoring

Bachelor Of Science - Bs, Human Biology, Computer Science Minor

Relevant coursework (CS): • Machine Learning, Programming Methodology, Programming Abstractions, Mathematical Foundations of Computing.

Master'S Degree, Behavioral And Evolutionary Neuroscience, Data Science Minor

Research Area: Computational Neuroscience Relevant Coursework: Machine Learning, Quantitative Methods I and II, Optimization II