Sam M. Email & Phone Number

Lead a team in quantum compilation research and spectral and structural graph theory research. Collaborated with experts in the field of quantum compilation. Mentored junior employees and interns. Group lead of the applied mathematics and data science groups. Wrote and presented funding proposals for research in quantum information and graph theory and sought sponsors within the US Navy. Developed collaboration with academia and industry partners

Washington D.C. Metro Area

Developed ways to mitigate bias in machine learning models. Analyzed data sets and machine learning models for bias and bias amplification against protected groups. Analyzed current research and patent data in quantum information sciences, aggregated statistics, and prepared the data for presentation.

Led a team in research in adiabatic quantum algorithms and quantum-inspired algorithms. Researched and developed methods for community detection in networks using spectral techniques. Developed Python code to simulate quantum algorithms and compare them to current machine-learning tools and perform simulations of community detection on random graphs using libraries including pandas and scikit-learn. Worked on various machine-learning projects in clustering, reinforcement learning, classification, and neural network architectures. Performed analysis on scientometric data; including query development, data cleaning, data analysis, and presentation of the results. Advised new hires and interns in research projects. Wrote research proposals

Fairfax, Virginia

Developed strong public speaking and leadership skills by teaching both lectures and recitations in mathematics for class sizes ranging from 10 to 90 students. Gave individualized help to students in small group settings during office and hours and private tutoring. Conveyed complex mathematical ideas to students in calculus, differential equations, discrete mathematics, introductory probability, quantitative reasoning, and linear modeling. Taught basic MATLAB coding skills.

Washington D.C. Metro Area

Developed strong public speaking and leadership skills by teaching both lectures and recitations in mathematics for class sizes ranging from 10 to 90 students. Gave individualized help to students in small group settings during office and hours and private tutoring. Conveyed complex mathematical ideas to students in calculus, differential equations, discrete mathematics, introductory probability, quantitative reasoning, and linear modeling. Taught basic MATLAB coding skills. Tutored fellow graduate students to prepare for preliminary exams.

Washington D.C. Metro Area

Researched the signal-processing technique, compressive sensing. Using Matlab, developed multi-purpose compressive sensing algorithms in MATLAB for using radar signal processing and data mining.

Washington D.C. Metro Area

Researched properties of the Jordan canonical form of a matrix. Edited and made additions to the problems section of the book Mathematical Connections: A Capstone Course by John B. Conway.

Washington D.C. Metro Area

Utilized mathematics background to assist in modeling signal processing appli-cations using MATLAB.

Doctor Of Philosophy (Ph.D.), Mathematics

Activities and Societies: Co-founded and participated in the shared graduate seminar between George Washington University and George Mason.

Bachelor’S Degree, Applied Mathematics

Activities and Societies: GW Math Club

Mathematics