Quantitative Researcher - University Of Chicago Project Lab
New York, New York, United States
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Summary
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Senior
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Top School
Maisha Miah is a quantitative researcher and Financial Mathematics master’s student at the University of Chicago with eight years of practical experience combining computer science and economics. She specializes in statistical modeling, machine learning, and time-series forecasting, having built LSTM models for Bitcoin and gold price prediction and applied wavelet transforms to tame volatility. Her background spans fintech and production engineering roles—from PayPal project work to CI/CD and monitoring experience developed during an MLH fellowship—enabling her to ship reliable, scalable analytics pipelines. She’s also applied technical skills in unexpected domains like processing 3D dental scans to improve manufacturing accuracy and refining AI-generated code across multiple languages. Based in New York and seeking a Summer 2026 quant internship, Maisha brings a pragmatic mix of research rigor and hands-on engineering that thrives at the intersection of algorithmic trading, DeFi, and production-ready systems.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Stuyvesant High School
Master of Science - MS, Financial Mathematics, Master of Science - MS, Financial Mathematics at University of Chicago
Bachelor of Arts - BA, Computer Science and Economics, Bachelor of Arts - BA, Computer Science and Economics at Boston University
Contributions:5 pushes, 1 branch in 1 year 10 months
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Maisha Miah - Quantitative Researcher - University Of Chicago Project Lab