Yonatan Naamad
Location: Sunnyvale, CA WWW: www.yonatan.us
Mobile: 617-543-2068 E-mail: me@yonatan.us
Personal
Information
Princeton University, Princeton, New Jersey, USA
Education
Ph.D. Computer Science (Theory of Algorithms), 2017
– Advisor: Moses Charikar
– Thesis title: Hardness from Densest Subgraph Conjectures
– 2 years spent as visiting student at Stanford University
M.A. Computer Science (Theory), 2013
– Advisor: Moses Charikar
Rensselaer Polytechnic Institute, Troy, New York, USA
M.S. Applied Mathematics, 2011
– Advisor: Peter Kramer
B.S. Computer Science and Mathematics, 2011
– Summa Cum Laude
Amazon.com, Inc.Appointments
Applied Scientist
• Emerging Devices June 2018 - Present
• Core Machine Learning / AWS AI Lab June 2017 - June 2018
Applied Scientist Intern
• Core Machine Learning Summer 2016
RPI / Princeton
Teaching Assistant / Assistant Instructor
• Assistant Instructor - Networks, Economics, and Computation Spring 2013
• Assistant Instructor - Networks, Economics, and Computation Fall 2012
• Teaching Assistant - Calculus II Spring 2011
• Teaching Assistant - Introduction to Discrete Structures Fall 2010
• Teaching Assistant - Multivariable Calculus & Matrix Algebra Spring 2010
• Undergraduate Teaching Assistant - Introduction to Logic Fall 2009
• Undergraduate Teaching Assistant - Data Structures and Algorithms Spring 2009
World Bank
Temporary Employee
• Short Term Temporary - Databases / Imputation Summer 2009
EMC Corporation (now Dell EMC)
Summer Intern
• Technical Competitive Analysis Group Intern Summer 2007
• Performance Group Intern Summer 2005
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Research P. Parchas, Y. Naamad, P. Van Bouwel, C. Faloutsos, M. Petropoulos “Fast and Effective
Distribution-Key Recommendation for Amazon Redshift” To appear in the 46th Interna-
tional Conference on Very Large Data Bases (VLDB), 2020.
D. Eswaran, C. Faloutsos, N. Mishra, Y. Naamad , “Intervention-Aware Early Warning”
Proceedings of the 19th Industrial Conference on Data Mining (ICDM) 2019
M. Charikar, Y. Naamad, J. Rexford, X. Zou “Multi-Commodity Flow with In-Network Pro-
cessing” Proceedings of the 4th International Symposium on Algorithmic Aspects of Cloud
Computing (ALGOCLOUD) 2018
M. Charikar, Y. Naamad, A. Wirth “On Approximating Target Set Selection” Proceedings of
the 19th International Workshop on Approximation Algorithms for Combinatorial Problems
(APPROX) 2016
M. Chakraborty, S. Das, A. Lavoie, M. Magdon-Ismail, Y. Naamad “Instructor Rating Markets”
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2013
Abstract appeared in the Proceedings of the Second Conference in Auctions, Mar-
ket Mechanisms, and Their Applications (AMMA) 2011
E. Anshelevich, S. Das, Y. Naamad “Anarchy, Stability, and Utopia: Creating Better Match-
ings” Autonomous Agents and Multi-Agent Systems (AAMAS) 2013
Prior conference version appeared in Proceedings of the 2nd International Sympo-
sium on Algorithmic Game Theory (SAGT) 2009
M. Charikar, Y. Naamad, J. Wu “On Finding Dense Common Subgraphs” Manuscript
M. Charikar, Y. Naamad, A. Wirth “On DkS-hardness for MinRep-hard Problems” Manuscript
Patents N. Mishra, Y. Naamad “Question Answering System”, U.S. Patent #10,713,289. July 14, 2020
Awards
COMAP Mathematical Contest in Modeling
• 2011 - Outstanding Winner for Problem B (Repeater Coordination)
• 2010 - Outstanding Winner (SIAM Prize) for Problem B (Criminology)
Princeton Internal Awards
• 2014 Computer Science Graduate Teaching Award
RPI Internal Awards
• 2011 Paul A. McGloin Prize in Computer Science
• 2010 Founders Award of Excellence
• 2010 RPI Mathematics PhD Preliminary Exam “Passed with Distinction”
Skills
Development:
(bold preferred)
C, C++, C#, Haskell, Java, Javascript, Julia, Lua, Matlab,
MIPS, PHP, Prolog, Python 2/3, Scheme, SQL, Visual Basic
6/.Net
Tools:
AMPL, Arduino, Git, Keras/Tensorflow, scikit-learn, L
A
T
E
X, Unity
Operating Systems:
Windows, Linux, MacOS, FreeBSD
Languages:
English (native), Hebrew (native), Spanish (elementary)
Citizen of both USA and Israel.
Citizenship
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