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I work in the fields of Machine Learning and Natural Language Processing, focusing on:- Machine learning with structured objects (trees, sequences, graphs)- Designing interpretability frameworks for transparent machine learning- Optimal transport distance as a tool to enhance current approachesAlthough I am fond of any practical applications that touch upon these three main themes, I'm most passionate about problems involving natural language processing, speech recognition and image processing. I recently completed a PhD in Computer Science (MIT), where I conducted my research at CSAIL. Prior to that, I worked for a year at IBM's TJ Watson Research Center, in the Speech Recognition group. Even before that, I completed a M.S. in Math at Courant Institute, NYU and a B.Sc. in Applied Mathematics at Instituto Tecnologico Autonomo de Mexico (ITAM) in Mexico City.
Harvard University
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Assistant ProfessorHarvard UniversityCambridge, Ma, Us -
Machine Learning Researcher / ProfessorMicrosoftCambridge, Ma -
Assistant ProfessorHarvard University Jul 2023 - PresentCambridge, Massachusetts, Us -
Senior ResearcherMicrosoft Apr 2021 - PresentRedmond, Washington, Us -
Postdoctoral ResearcherMicrosoft Aug 2019 - Apr 2021Redmond, Washington, Us -
Research AssistantMit Computer Science And Artificial Intelligence Laboratory (Csail) Sep 2014 - PresentCambridge, Ma, UsWorking under Tommi Jaakkola's supervision. Research on Machine Learning and Natural Language Processing. -
Summer Research InternMicrosoft May 2016 - Aug 2016Redmond, Washington, Us -
Supplemental ResearcherIbm Research Jun 2013 - Jun 2014Armonk, New York, Ny, UsData mining, machine learning methods on data from speech recognition and natural language processing contexts. -
Teaching AssistantNew York University Aug 2012 - May 2013New York, Ny, UsRecitation leader for:- MATH-UA-009: Algebra and Calculus (Fall 2012)- MATH-UA-121: Calculus I (Spring 2013) -
StudentCourant Institute, Nyu Sep 2011 - May 2013
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Teaching AssistantItam Jan 2008 - Dec 2010Recitation Leader for various courses, including Calculus and Microeconomics.
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Statistical AnalystLas Quince Letras Dec 2009 - Jun 2010Ciudad De México, Distrito Federal, MxStatistical methods: linear regressions, PCA and ANOVA, generalized linear models, decision trees. Marketing: segmentation research, customer analysis, brand equity research, mystery shopping and Market trends.Extensive programming in R.
David Alvarez Melis Skills
David Alvarez Melis Education Details
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Massachusetts Institute Of TechnologyComputer Science -
New York UniversityMathematics -
Instituto Tecnológico Autónomo De MéxicoApplied Mathematics -
Lancaster School
Frequently Asked Questions about David Alvarez Melis
What company does David Alvarez Melis work for?
David Alvarez Melis works for Harvard University
What is David Alvarez Melis's role at the current company?
David Alvarez Melis's current role is Assistant Professor.
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What is David Alvarez Melis's direct phone number?
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What schools did David Alvarez Melis attend?
David Alvarez Melis attended Massachusetts Institute Of Technology, New York University, Instituto Tecnológico Autónomo De México, Lancaster School.
What are some of David Alvarez Melis's interests?
David Alvarez Melis has interest in Algorithms, Machine Learning, Numerical Methods, Optimization.
What skills is David Alvarez Melis known for?
David Alvarez Melis has skills like Machine Learning, R, Statistical Modeling, Data Mining, Statistics, Matlab, Data Analysis, Programming, Natural Language Processing, Numerical Analysis, Algorithms, Mathematical Statistics.
Who are David Alvarez Melis's colleagues?
David Alvarez Melis's colleagues are Mohammed Omar, Philip Fry, Caspr Msn, Everton Garcia Pinheiro, Mike Wanger, Kaleem Mohammed, Kuleen Bharadwaj.
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