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Ayan Mitra Ph.D. Email & Phone Number

Location: Urbana, Illinois, United States 8 work roles 4 schools
1 work email found @nu.edu.kz LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email a****@nu.edu.kz
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Role
Pipeline Scientist LSST
Location
Urbana, Illinois, United States

Who is Ayan Mitra Ph.D.? Overview

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Quick answer

Ayan Mitra Ph.D. is listed as Pipeline Scientist LSST at National Center for Supercomputing Applications, based in Urbana, Illinois, United States. AeroLeads shows a work email signal at nu.edu.kz and a matched LinkedIn profile for Ayan Mitra Ph.D..

Ayan Mitra Ph.D. previously worked as Postdoctoral Researcher at Rubin Observatory and Visiting Professor at Kazakh-British Technical University. Ayan Mitra Ph.D. holds Data Science Training, Data Science from The Data Incub.

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*@nu.edu.kz
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Profile bio

About Ayan Mitra Ph.D.

I am an astrophysics researcher who is equally active in machine learning based research projects, with over 8 years of experience. My main interests include unsupervised machine learning and Neural networks. Statistical modeling and inferencing. Data Analysis. Data visualization. Bayesian inferencing. I code in Python, however adept in C# languages and R too. Open for new collaboration opportunities and new roles for data science based jobs.

Listed skills include Data Analysis, Statistical Data Analysis, Statistical Modeling, Programming, and 18 others.

Current workplace

Ayan Mitra Ph.D.'s current company

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National Center for Supercomputing Applications
National Center For Supercomputing Applications
Pipeline Scientist LSST
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8 roles

Ayan Mitra Ph.D. work experience

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Postdoctoral Researcher

The LSST/Rubin observatory is the biggest optical survey telescope project. For more details see: https://www.linkedin.com/company/rubinobservatory/

Fellow

The fellows had to go through rigorous 2 months of data science session. Where we were taught hands on, the different algorithms of Machine Learning. Besides we were also made to go through difficult sessions on coding challenges and on dealing with the statistical fundamental concepts. As a part of the program fellows had to also work on a project. My.

Jun 2017 - Sep 2017

Project

Munich Area, Germany

Using Machine Learning techniques, we optimized the Facebook quiz results of SSH i.e. to increase the chances of sharing percentage after the games are played

Jun 2017 - Aug 2017
4 education records

Ayan Mitra Ph.D. education

Doctor Of Philosophy (Ph.D.), Cosmology, Data Analysis, Gravitational Lensing, Supernova, Tres Honorable

Gravitational Lensing with SN Ia in the SNLS

FAQ

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Quick answers generated from the profile data available on this page.

What company does Ayan Mitra Ph.D. work for?

Ayan Mitra Ph.D. works for National Center for Supercomputing Applications.

What is Ayan Mitra Ph.D.'s role at National Center for Supercomputing Applications?

Ayan Mitra Ph.D. is listed as Pipeline Scientist LSST at National Center for Supercomputing Applications.

What is Ayan Mitra Ph.D.'s email address?

AeroLeads has found 1 work email signal at @nu.edu.kz for Ayan Mitra Ph.D. at National Center for Supercomputing Applications.

Where is Ayan Mitra Ph.D. based?

Ayan Mitra Ph.D. is based in Urbana, Illinois, United States while working with National Center for Supercomputing Applications.

What companies has Ayan Mitra Ph.D. worked for?

Ayan Mitra Ph.D. has worked for National Center For Supercomputing Applications, Rubin Observatory, Kazakh-British Technical University, Nazarbayev University, and Indian Statistical Instiute, Kolkata.

How can I contact Ayan Mitra Ph.D.?

You can use AeroLeads to view verified contact signals for Ayan Mitra Ph.D. at National Center for Supercomputing Applications, including work email, phone, and LinkedIn data when available.

What schools did Ayan Mitra Ph.D. attend?

Ayan Mitra Ph.D. holds Data Science Training, Data Science from The Data Incub.

What skills is Ayan Mitra Ph.D. known for?

Ayan Mitra Ph.D. is listed with skills including Data Analysis, Statistical Data Analysis, Statistical Modeling, Programming, Algorithms, Python, Machine Learning, and Research.

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