Tensorflow, Machine Learning, Deep Learning, Data Science, Python

Mark D Harmon

**** ***** **** ***. *******, IL **645 Phone: 334-***-**** Email: **************@*.************.*** December 2017 - (Expected) PhD. Engineering Sciences & Applied Mathematics, Northwestern University (3.86/4.0) December 2013 - M.S. Engineering Sciences & Applied Mathematics, Northwestern University (3.93/4.0) May 2012 - B.S. Mathematical Sciences, Clemson University (4.0/4.0) Seek to expand professional experience in machine learning methodologies with focus on deep learning. Experience includes optimization research, classification predictions, deep learning with application in sport analytics and finance. EXPERIENCE

Department of Science & Engineering Education, Clemson University, Clemson SC August 2009 – May 2012: Research Associate

• Applied regression analysis to graduate student data in physics and chemistry with Dr. Geoff Potvin Applied Mathematics, Northwestern University, Evanston, IL Fall 2012-Present: Student/ Teaching Assistant/ Research Assistant

• 5th year PhD candidate Applied Mathematics, focus in optimization and machine learning

• Currently researching novel algorithms for solving deep neural networks.

• Applying deep learning to trading.

• TA for deep learning course for Northwestern University MSIA program. Data Science Group, CME Group, Chicago, IL

Summer 2014: Research Intern

• Made use of K-means clustering to detect spoofing (illegal trading) within options trading.

• Explored order book data of several financial instruments. Data Science Group, STATS LLC, Chicago, IL

Winter 2016: Research Intern

• Used neural networks for predicting whether a shot will be made in the NBA PUBLICATIONS

• Potvin, G., Harmon, M., & Tai, R. H. (2011). Understanding Student Evaluations of Their Doctoral Advisors. NARST Annual Conference, Orlando, FL.

• Wald, A. Harmon, M., Klabjan, D. (2014). Structured Deplaning via Simulation and Optimization. Journal of Air Transport Management.

• Harmon, M. Klabjan, D. (2016). Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt fromm Adversarial Multiagent Trajectories.

• Harmon, M. Klabjan, D. Activation Ensembles for Deep Neural Networks (2017).

• Harmon, M. Klabjan, D. Confidence Measure for Sequence to Sequence Learning on Stocks (Pending) COMPUTATIONAL KNOWLEDGE

• Tensorflow (Expert) • R Statistical Language (Proficient)

• C/C++ (Working) • Linux (Expert)

• Python (Expert) • SQL (Working)

ACTIVITIES & HONORS

Clemson University, Clemson SC

• Leadership role in delivering food and other resources to the homeless in Greenville, SC (2011-2012)

• Received Faculty Scholarship Award (2012)

• Graduated Summa Cum Laude (2012)

Northwestern University, Evanston, IL

• Awarded with Walter P. Murphy Fellowship at Northwestern University (2012-2013).

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