Maxwell Jones Email & Phone Number
@cmu.edu
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Who is Maxwell Jones? Overview
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Maxwell Jones is listed as MLD PhD @ CMU advised by Jun-Yan Zhu and Ruslan Salakhutudinov | ML Generative Modeling Researcher | CMU Rales Fellow, Class of 2024 | Siebel Scholar, Class of 2024 at Carnegie Mellon University, based in Greater Pittsburgh Region, United States, United States. AeroLeads shows a work email signal at cmu.edu and a matched LinkedIn profile for Maxwell Jones.
Maxwell Jones previously worked as Researcher at Carnegie Mellon University and Researcher at Carnegie Mellon University. Maxwell Jones holds Masters Of Science In Machine Learning, Machine Learning from Carnegie Mellon University.
Email format at Carnegie Mellon University
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AeroLeads found 1 current-domain work email signal for Maxwell Jones. Compare company email patterns before reaching out.
About Maxwell Jones
I'm a Machine Learning PhD student at Carnegie Mellon University, with skills in several programming languages and an interest in AI Research and Machine Learning Engineering. I'm currently Researching under Prof. Jun-Yan Zhu in the Generative Intelligence Lab at CMU (https://www.cs.cmu.edu/~junyanz/), with broad interests in generative modeling for computer vision tasks. I was an undergrad double major in AI and math at CMU as well as a masters of machine learning student at CMU
Maxwell Jones's current company
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Maxwell Jones work experience
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Researcher
CurrentResearch under prof Jun-Yan Zhu in the Generative Intelligence LabInvestigating ability to finetune stable diffusion models on image to image translation tasks
Researcher
Worked on research in scalable graph-based Semi-Supervised Machine Learning project with PHD student under Dr. Nina Balcan as well as Generative modeling under Dr. Jun-Yan ZhuFor Generative Modeling: Research under prof Jun-Yan Zhu in the Generative Intelligence LabInvestigating ability to finetune stable diffusion models to mimic images altered by.
(Head) Teaching Assistant
NOTE: I have held this role for 15-151 Concepts of Mathematics both Fall 2021 and Fall 2022, with general TA roles Fall and Spring 2020, as well as Spring 2022, 2023 (15-251 Theoretical Computer Science)Over 2+ years, Head TA for 50+ TAs, impacting 500+ students (Concepts of Mathematics, Theoretical CS)Responsible for hiring, providing training and.
Software Engineer/Ai Ml Intern
Working on paper to systematically benchmark algorithmic Bias Amplification of models from biased datasets with different levels of biasMeasuring how the affects of a a specific feature in an image(ex: grass versus snow) may affect classification of an object(ex: dog versus wolf)Using ResNet-18 using ClassyVision and Pytorch to benchmark bias for.
Software Engineer/Ai Ml Intern
Software Engineer Intern at Facebook working on the probability: uncertainty team. More specifically, focusing on the affect of data perturbation on entropy of deep probabilistic models. Finally, analyzed the affects of different out of distribution datapoints on different model architectures.
Teaching Assistant For 15-251 Great Theoretical Ideas In Computer Science
Teach 20-student recitation two times a weekCover concepts such as Turing Machines, Graph Theory, np Hard/np complete problems, Reductions, Random and Deterministic Algorithms, etc...Lead Review SessionsHold Office hours 2+ hours a week
Teaching Assistant For 15-151 Mathematical Foundations In Computer Science
Taught 20-student recitation twice per week and help create problems for homework and tests.Lead review sessions and game nights with >100 people per eventHosted weekly office hours, graded homework and exams, and attended weekly staff meetings.
Course Tutor For 15-251 Great Theoretical Ideas In Computer Science
Data Science Intern
Tasked to increase accuracy for absentee worker prediction at all plants (absentee predictions inform numbers for necessary temp workers)Improved performance by using Random Forests, cross referencing crew attendance across plantsQueried data from PostgreSQL database and used Pandas library to store query resultsOptimized the HR absentee prediction model.
Computer Science And Ai Tutor
Tutored high school students in simple java, as well as taught basic AI concepts in python.
Columnist
writing a column about young origamists in The Paper, a national origami magazine
Maxwell Jones education
Masters Of Science In Machine Learning, Machine Learning
Bachelor Of Science - Bs, Artificial Intelligence, Additional Major Mathematics
High School Diploma
Frequently asked questions about Maxwell Jones
Quick answers generated from the profile data available on this page.
What company does Maxwell Jones work for?
Maxwell Jones works for Carnegie Mellon University.
What is Maxwell Jones's role at Carnegie Mellon University?
Maxwell Jones is listed as MLD PhD @ CMU advised by Jun-Yan Zhu and Ruslan Salakhutudinov | ML Generative Modeling Researcher | CMU Rales Fellow, Class of 2024 | Siebel Scholar, Class of 2024 at Carnegie Mellon University.
What is Maxwell Jones's email address?
AeroLeads has found 1 work email signal at @cmu.edu for Maxwell Jones at Carnegie Mellon University.
Where is Maxwell Jones based?
Maxwell Jones is based in Greater Pittsburgh Region, United States, United States while working with Carnegie Mellon University.
What companies has Maxwell Jones worked for?
Maxwell Jones has worked for Carnegie Mellon University, Meta, Facebook, Fca Fiat Chrysler Automobiles, and Origamiusa.
How can I contact Maxwell Jones?
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What schools did Maxwell Jones attend?
Maxwell Jones holds Masters Of Science In Machine Learning, Machine Learning from Carnegie Mellon University.
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