Michael Celentano Email & Phone Number
@stanford.edu
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Who is Michael Celentano? Overview
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Michael Celentano is listed as Member of Technical Staff at OpenAI, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Michael Celentano.
Michael Celentano previously worked as Member of Technical Staff (Resident) at Openai and Postdoctoral Miller Fellow at University Of California, Berkeley. Michael Celentano holds Phd, Statistics from Stanford University.
Email format at OpenAI
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AeroLeads found 1 current-domain work email signal for Michael Celentano. Compare company email patterns before reaching out.
About Michael Celentano
Researcher with background in high-dimensional statistics, machine learning theory, probability theory, causal inference, and biostatistics, with a publication record in statistics and probability journals. PhD from Stanford Statistics in 2021. Experienced in Python and R.
Listed skills include Matlab, Machine Learning, Analog Circuits, C++, and 3 others.
Michael Celentano's current company
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Michael Celentano work experience
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Member Of Technical Staff (Resident)
Postdoctoral Miller Fellow
Developed precise characterizations of high-dimensional algorithms for non-convex optimization and variational Bayesian inference; developed novel methods for debiasing machine learning algorithms for use in causal inference and other tasks; developed novel algorithms to efficiently simulate phylogenies in biological applications. Work includes a single-author paper in a leading probability journal. I'm working with professors Martin Wainwright, Ryan Tibshirani, and Yun Song.
Phd Candidate
Developed precise characterizations of high-dimensional machine learning methods and gradient descent algorithms. Advised by Andrea Montanari.
Research Assistant
Modeled with analytical and computational techniques quantum optical systems for distributed sensing. Programed in MATLAB, Python, Mathematica and Julia.
Software Engineer Internship
Analyzed geospatial data from mobile devices for the development of higher-yield location-based ad targeting strategies.
Teaching Assistant
Led problem solving sections and labs, assisted in design of section content, and held office hours for “Mechanics and Heat with Laboratory,” an accelerated, algebra-based introductory physics course.
Teaching Assistant
Led weekly problem solving sections, assisted in design of section content, and held weekly office hours for “Mechanics and Special Relativity,” the first of a three-course, advanced freshman physics sequence.
Research Assistant
Designed and implemented in silico stochastic simulations of genetic regulatory networks to study distributed information processing in biological systems. Developed evolutionary algorithms to optimize network structure for achieving various information processing objectives. Programmed in C++ and MATLAB.
Tutor
Tutor high school students in physics and math.
Research Assistant
Worked independently with the guidance of Dr. Peter Maxim and Dr. Bill Loo on project to assess whether treatment planning protocols were appropriately robust but non-invasive by quantifying treatment sensitivity to various tumor-positioning errors. Contributed to development of analytical methodologies. Used highly specific treatment planning software (Eclipse™ Version 10, Varian Medical Systems, Inc.) on cases in the hospital’s database. Modeled tumor motion using MATLAB’s DICOM image editing functionalities. Communicated research progress and results in periodic presentations to advisors and other researchers in department.
Research Assistant
Collaborated on an experiment aimed at using optical levitation for short-range force measurements of gravity. Performed extensive literature searches and calculations to design optical trap of silicon microspheres smaller than the wavelength of light, selecting parameters including focal length, laser power, and bead size. Worked in regime in which exact equations were not available. Used CAD software to design experimental set-up and mounting devices within space-limited vacuum chamber.
Michael Celentano education
Phd, Statistics
Master Of Science (M.S.), Electrical Engineering
Bachelor Of Science (B.S.), Physics And Mathematics
High School Diploma, General
Frequently asked questions about Michael Celentano
Quick answers generated from the profile data available on this page.
What company does Michael Celentano work for?
Michael Celentano works for OpenAI.
What is Michael Celentano's role at OpenAI?
Michael Celentano is listed as Member of Technical Staff at OpenAI.
What is Michael Celentano's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Michael Celentano at OpenAI.
Where is Michael Celentano based?
Michael Celentano is based in San Francisco Bay Area, United States while working with OpenAI.
What companies has Michael Celentano worked for?
Michael Celentano has worked for Openai, University Of California, Berkeley, Stanford University, Stanford University Department Of Applied Physics, and Factual Inc.
How can I contact Michael Celentano?
You can use AeroLeads to view verified contact signals for Michael Celentano at OpenAI, including work email, phone, and LinkedIn data when available.
What schools did Michael Celentano attend?
Michael Celentano holds Phd, Statistics from Stanford University.
What skills is Michael Celentano known for?
Michael Celentano is listed with skills including Matlab, Machine Learning, Analog Circuits, C++, Microsoft Office, C, and Sql.
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