Supporting Tables - Design of Experiments for Reinforcement Learning - page 176

Christopher J. Gatti

50 2 nd Street, Troy, NY 12180 USA
Mobile: [phone]

E-mail: [e-mail]

Education Rensselaer Polytechnic Institute August 2010-August 2014

Troy, New York USA
Ph.D. Industrial and Systems Engineering
Dissertation title: Design of Experiments for Reinforcement Learning
Adviser: Professor Mark J. Embrechts

University of Michigan August 2000-May 2007

Ann Arbor, Michigan USA
M.S.E. Biomedical Engineering (May 2007)
B.S.E. Mechanical Engineering (May 2005)

Employment Cirque du Soleil

Montreal, Quebec, Canada

Artistic acrobat July 2014-present

• Corteo: Tournik artist.

World Class Gymnastics Academy
Latham, NY, USA
Coach/instructor September 2011-July 2014
Coached boys' and girls' Junior Olympic team gymnasts (levels 4-10).
Instructed all types of classes, ranging from those for 3-year old children to those
for adults.

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Laboratory for Optimization and Computation in Orthopaedic Surgery
University of Michigan, Ann Arbor, MI, USA
Research Computer Specialist May 2007-August 2010
Used computational modeling to analyze various orthopaedic and biomechanical
problems.
Developed and validated a finite element model of the glenoid labrum to deter-
mine the effects of humeral head migration.
Used simulated annealing to determine optimal musculoskeletal model parame-
ters to best match experimental measurements and reduce model development
time from days to minutes.
Developed discrete event simulation of surgery scheduling and procedures to
determine the effects of changes in surgery durations.
Used support vector machines and genetic algorithms to predict patients that
will ultimately require shoulder surgery for rotator cuff repair.
Estimated the probability of humeral head migration due to muscle force vari-
ability using Monte Carlo simulation.
Predicted electromyographic activity of the shoulder muscles from external shoul-
der moments using an artificial neural network.

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