Michael Huang

Independent STEM Learning Content Developer & Quantitative Analyst New York City Metropolitan Area

mmathster.github.io · github.com/mmathster


Education

Queens College, City University of New York Bachelor of Arts in Pure Mathematics, 2014 Arthur Sard Award for Excellence in Mathematics


Independent STEM Learning Content Developer

March 2017 – Present

My independent work began with geometric problem construction and has evolved into formal analytic investigation. The through-line is consistent: identifying non-obvious structure in classical configurations and extending it into generalized domains.

Current focus — Higher Analysis

Structural analysis of special functions and integral classes, including generalized hypergeometric functions ${}_pF_q$, polylogarithmic integrals, and integrals involving floor and fractional-part functions. Work is produced in LaTeX and verified computationally using Python and Mathematica.

Geometry — Loci of Kimberling Triangle Centers

Derivation of parametric loci for selected centers from Clark Kimberling’s Encyclopedia of Triangle Centers under the Thales configuration: right triangles inscribed in a fixed circle. Results range from standard conics to quartic curves with geometric singularities.

Problem construction and exposition

Original problem sets and solution writing spanning secondary through advanced undergraduate level, including contributions produced in English, Spanish, Japanese, and Traditional Chinese.


Professional Experience

AiCure · New York City Metropolitan Area March 2022 – October 2025

AiCure develops patient-facing mobile technology for clinical trial adherence monitoring. My work spanned two roles held concurrently during a period of organizational transition.

Fulfillment Associate (primary role)

Applied statistical modeling to track device state transitions and forecast hardware allocation needs across active clinical trials. Conducted applied analysis of lithium-ion battery degradation in legacy mobile devices, producing technical documentation grounded in electrochemical fundamentals. Workflow automation via Python improved operational efficiency measurably across fulfillment pipelines.

Interim Programmer Analyst (concurrent transitional role)

Supported biostatistical review of patient adherence datasets, with particular attention to data validation, anomaly detection, and prevention of misrepresentation in clinical reporting. Developed Python and SQL scripts for structured data workflows and contributed technical documentation across Confluence and Jupyter environments.


Technical Skills

Core — Python, SQL, LaTeX, Mathematica

Data and analysis — R, Excel, statistical modeling, data validation

Mathematical — Real and complex analysis, geometry, special functions, probability theory


Languages

English · Mandarin · Spanish · Portuguese · Japanese


Honors and Awards

Arthur Sard Award for Excellence in Mathematics — Queens College, 2014