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Maxime Cohen
Teaching Experience
15.767 - Introduction to Healthcare Delivery in the US: Market & System
Challenges - Fall 2013 (TA)
Elective MBA and PhD course at MIT Sloan School of Management taught by Professor Vivek Farias (30 students).
Responsibilities include: class organization, reviewing multiple case analyses and guiding students' projects. TA evaluation: 6.6/7
Course description: The goal is to provide a broad perspective of the various central system issues as well as the business
opportunities in the healthcare delivery industry in the US. In particular, the focus is on:
(1) The financial and organizational structures and incentives in the healthcare industry: How do various players (hospitals, doctors and medical professionals, insurance companies and patients) interact? How do
the resulting organizational structures and incentives drive healthcare delivery systems design and operations?
(2) Major system design and operational challenges: What are the major challenges that healthcare delivery systems are facing? What alternative systems designs are
being considered?
(3) Data and analytically driven healthcare delivery:
How to use data-driven, analytical and scientific business approaches to obtain better performance and decision support tools?
Data, Models and Decisions: Pre-Term - Summer 2013 & 2014 (Instructor)
MBA math refresher course at MIT Sloan School of Management (full responsibility for 93 students).
Responsibilities include: teaching daily lectures, preparing slides and designing a contest based on a case study. TA evaluation: 4.49/5
15.761 - Introduction to Operations Management - Fall 2012 (TA)
Elective/core MBA course at MIT Sloan School of Management taught by Professor Retsef Levi (87 students).
Responsibilities include: teaching weekly recitation, reviewing several case studies and managing simulation games. TA evaluation: 4.4/5
Course description: Operations management is the management of business processes - the recurring activities of the
firm. The course aims to (1) familiarize students with the problems and issues confronting
operations managers, and (2) provide language, concepts, insights and tools to deal with these
issues in order to gain competitive advantage through operations. The objective in this course is
to introduce students to concepts and techniques related to the design, planning, control and
improvement of both manufacturing and service operations.
044202 - Random Signals - 2007-2008 (TA)
Undergraduate advanced course taught in the EE department at Technion by Professors Adam Shwartz and Tsachy Weissman.
Responsibilities include: teaching weekly recitation, writing homework and exam questions. TA evaluation: 4.42/5
Course description: Review of basic concepts in probability theory. Least mean square estimation. Random processes (both discrete and continuous).
Stationarity concepts. Gaussian processes. Poisson and Markov processes. Random signals in linear systems.
Optimal linear filtering (Wiener). Examples of applications.
044192 - Control Systems 2 - 2007 (TA)
Undergraduate advanced course taught in the EE department at Technion by Professor Arie Feuer.
Responsibilities include: teaching weekly recitation, writing homework and exam questions and supervising student projects. TA evaluation: 4.25/5
Course description: Pole shifting by state feedback. State estimator. Extensions of the concepts of
controllability and obervability. Lyapunov stability. Polynominal design.
Control in the presence of stochastic disturbances. Introduction to LQG control.
Special topics in discrete control, delays, controller realization, finite word length.
Introduction to time-varying systems.
046196 - Non-Linear Control Systems and 044193 - Control and Robotics Lab - 2007 (TA)
046196 is a joint Graduate/Undergraduate course taught in the EE department at Technion by Doctor Hector Rotstein.
044193 is a an undergraduate level course under the supervision of Koby Kohai.
Responsibilities include: teaching weekly recitation, writing homework and exam questions, running various physical experiments and supervising student projects. TA evaluation: 4.32/5
Course description: D-C motor tracking system. Digital simulation of a tracking system.
Comparison of analog and digital controllers. P.I.D. controller. Non linear controllers.
Simulation of an automatic pilot via a flight table and gyroscopes.
Work Experience
IBM Research, Watson Research Center (Summer 2012)
Research Intern - Business Analytics and Math Sciences
Worked on improving pricing and promotion strategies by incorporating social and influence data. Proposed a practical formulation that allows efficient computation of the optimal pricing strategies while taking into account network and influence effects.
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