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Sachit Menon Email & Phone Number
Presidential and NSF Graduate Fellow
at
Columbia University
1 work email found
@lineagelogistics.com
LinkedIn matched
✓ Verified May 2026
4 data sources
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Current company
Role
Presidential and NSF Graduate Fellow
Location
New York, New York, United States
Who is Sachit Menon? Overview
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Quick answer
Sachit Menon is listed as Presidential and NSF Graduate Fellow at Columbia University, based in New York, New York, United States. AeroLeads shows a work email signal at lineagelogistics.com and a matched LinkedIn profile for Sachit Menon.
Sachit Menon previously worked as Data Science/Deep Learning Team Lead at Duke Enable and Deep Learning Research at Duke University. Sachit Menon holds Doctor Of Philosophy - Phd, Computer Science from Columbia University.
Company email context
Email format at Columbia University
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{first_initial}{last}@lineagelogistics.com
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Profile bio
About Sachit Menon
Hi! I'm studying deep learning and computer vision for my PhD at Columbia. My primary interests lie in learning large-scale deep models and using what they learn for various tasks (representation learning and using those representations). This makes me particularly interested in self-supervised and often multimodal methods, recently at the intersection of vision and language.I'm looking for research internships working on these topics. If you have any questions or opportunities, feel free to reach out!
Listed skills include Python, R, C, Nanotechnology, and 8 others.
Current workplace
Sachit Menon's current company
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8 roles
Sachit Menon work experience
A career timeline built from the work history available for this profile.
Data Science/Deep Learning Team Lead
Duke Enable
Executive member of volunteering organization for providing limb replacements to people with limb amputations. Led research effort to create prosthetic hands by applying deep learning to electromyographic data. Taught weekly course on deep learning to volunteers interested in prosthetic design in order to accelerate development.
Sep 2018 - May 2020
Deep Learning Research
Conducting research in deep learning with Dr. Cynthia Rudin. Focus on image super-resolution (algorithmic conversion of low-resolution images to high-resolution images - think 'zoom and enhance' from CSI, but in real life). Published as co-first author in CVPR. Released code for novel method with 6.7k GitHub stars, top 5 posts of all time on Reddit.
Jan 2018 - May 2020
Data Science/Machine Learning Intern
Leveraged data science and machine learning expertise to contribute to the development of high bandwidth, safe brain-machine interfaces at Elon Musk startup. Developed techniques for machine learning with neural signals.
May 2018 - Aug 2018
Data Science Intern
Worked with a team of seven on data science and applied math problems to improve operation of cold storage warehouses responsible for >30% of US food infrastructure. -Implemented Gaussian Process Regression Machine Learning (Kriging) in Python for spatial interpolation of temperature data in warehouses-Interfaced with IoT sensors via a custom API to.
May 2017 - Jul 2017
Bass Connections Fellow, "Making Young Voters: Policy Reforms To Increase Youth Turnout"
Multidisciplinary project aiming to determine the most effective ways to combat the problem of low youth voter turnout.-Used R to conduct in-depth statistical analysis of teacher survey data and to visualize public opinion-Conducted cognitive interviews and surveys of teachers to obtain a mix of quantitative and qualitative data
Mar 2017 - May 2017
Undergraduate Researcher, Fundamental Neuroscience Lab
I studied the relationship between primary cilia (a little-understood cell organelle) and neural disorders.-Potential for development of novel drug treatment for epilepsy-Derived potential explanation for kindling (tendency of seizures to beget seizures)2016 Goldwater Scholar-Most prestigious undergraduate research scholarship in the sciences-One of ~250.
Nov 2014 - May 2016
Affiliate Researcher, Alan G. Macdiarmid Nanotech Institute
I created thin, flexible, lightweight, transparent loudspeakers using carbon nanotubes by leveraging the thermoacoustic effect.-Invited to present for the American Association for the Advancement of Science - American Junior Academy of Science Symposium, Chicago, IL-Special Recognition for Outstanding Research, American Acoustic Society
Aug 2013 - Jun 2014
4 education records
Sachit Menon education
Doctor Of Philosophy - Phd, Computer Science
Columbia University
Master Of Science - Ms, Computer Science
Columbia University
Bachelor Of Science - Bs, Mathematics And Computer Science
Duke University
High School Diploma
Texas Academy Of Mathematics And Science, University Of North Texas
FAQ
Frequently asked questions about Sachit Menon
Quick answers generated from the profile data available on this page.
What company does Sachit Menon work for?
Sachit Menon works for Columbia University.
What is Sachit Menon's role at Columbia University?
Sachit Menon is listed as Presidential and NSF Graduate Fellow at Columbia University.
What is Sachit Menon's email address?
AeroLeads has found 1 work email signal at @lineagelogistics.com for Sachit Menon at Columbia University.
Where is Sachit Menon based?
Sachit Menon is based in New York, New York, United States while working with Columbia University.
What companies has Sachit Menon worked for?
Sachit Menon has worked for Columbia University, Duke Enable, Duke University, Neuralink, and Lineage Logistics.
How can I contact Sachit Menon?
You can use AeroLeads to view verified contact signals for Sachit Menon at Columbia University, including work email, phone, and LinkedIn data when available.
What schools did Sachit Menon attend?
Sachit Menon holds Doctor Of Philosophy - Phd, Computer Science from Columbia University.
What skills is Sachit Menon known for?
Sachit Menon is listed with skills including Python, R, C, Nanotechnology, Data Science, Neuroscience, Public Speaking, and Machine Learning.
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