Mikhail Hayhoe, Ph.D. Email & Phone Number

Philadelphia, Pa, Us

Philadelphia, Pennsylvania, United States

Greater Philadelphia Area

Produced a novel framework for machine learning on hyper-graphs in PyTorch that achieves over 46% higher accuracy than competitors and other baselines, along with state-of-the-art statistical and probabilistic guarantees on performance of graph neural networks and hyper-graph learning algorithms for potentially billions of nodes and edges.Designed custom SQLite database and ingested Ethereum block-chain transactions to develop algorithms that can run in less than 100 milliseconds for cryptocurrency miners to select the most profitable subset from among up to 10,000 transactions at a time and achieve up to a 400% increase in revenue.Built custom simulation environment in Python for training deep reinforcement learning algorithm on a card game via machine self-play using Keras/TensorFlow that beats heuristic algorithms over 90% of the time.Designed end-to-end predictive modeling and data-driven strategic decision-making product for COVID-19 interventions using anonymized cellphone location data from more than 30 million unique devices and COVID-19 health outcome datasets for 3,000 U.S. counties.Created and implemented novel algorithm in C++ for user matching across subsets of social networks with as many as 50,000 accounts and over 800,000 mutual connections which produces up to a 300% improvement in accuracy over competitors in the presence of measurement errors.

Greater Philadelphia Area

Managed and mentored eleven junior researchers, individually and in teams, for projects on graph machine learning and predictive modeling of epidemics.Gave lectures, both online and in-person, to over 120 undergraduate and graduate students in topics such as data mining and analysis of networked systems.Mentored and gave tutorials/recitations to over 250 students in topics including machine learning for satellite imagery, data mining, and optimization.

Developed a new model for the spread of diseases in networks of people and computers. Explored the predictive capabilities of this model by examining its mathematical and statistical properties, and showed how to use it to design strategies to control the spread of disease.

Mentored a team of four junior researchers for a project on predictive modeling of epidemics.Gave lectures and tutorials/recitations to over 200 undergraduate and graduate students in topics including optimization, probability, linear algebra, calculus, as well as information theory and data compression.

Kingston, Ontario, Canada

Managed payroll, budgeting, accounting, and purchasing for a STEM outreach organization that serves over 3,000 children each year with 19 employees and $250,000+ in annual revenue.

Doctor Of Philosophy - Phd, Electrical And Systems Engineering

Master Of Science - Ms, Applied Mathematics

Bachelor Of Science - Bs, Mathematics And Engineering