AeroLeads people directory · profile

Michael Feffer Email & Phone Number

Location: Pittsburgh, Pennsylvania, United States 14 work roles 4 schools
1 work email found @predictivetechnologies.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@predictivetechnologies.com
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Societal Computing PhD Student
Location
Pittsburgh, Pennsylvania, United States

Who is Michael Feffer? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Michael Feffer is listed as Societal Computing PhD Student at Carnegie Mellon University Software and Societal Systems Department, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at predictivetechnologies.com and a matched LinkedIn profile for Michael Feffer.

Michael Feffer previously worked as Research Intern at Spotify and Research Intern at Ibm. Michael Feffer holds Doctor Of Philosophy - Phd, Societal Computing from Carnegie Mellon University School Of Computer Science.

Company email context

Email format at Carnegie Mellon University Software and Societal Systems Department

This section adds company-level context without repeating Michael Feffer's masked contact details.

{first_initial}{last}@predictivetechnologies.com
86% confidence

AeroLeads found 1 current-domain work email signal for Michael Feffer. Compare company email patterns before reaching out.

Profile bio

About Michael Feffer

I am a fourth-year Societal Computing PhD student in the Software and Societal Systems Department (S3D) at Carnegie Mellon University. Supported in part by a GEM Fellowship, I am broadly interested in applying artificial intelligence and machine learning techniques to problem spaces in the humanities and social sciences. My current interests include algorithmic fairness, music information retrieval, participatory approaches to machine learning, AI for social good, and the ethics and evaluation of generative AI. Prior to coming to CMU, I graduated with a Master of Engineering (MEng) degree from MIT for work I did in the MIT Media Lab's Affective Computing Group with Prof. Rosalind Picard and Dr. Ognjen Rudovic, and I additionally conducted undergraduate research with Prof. Randall Davis in the Computer Science and Artificial Intelligence Laboratory (CSAIL). I also worked as a software engineer at Mastercard Data & Services for 2.5 years after graduating from MIT.

Listed skills include Python, Java, C#, C++, and 13 others.

Current workplace

Michael Feffer's current company

Company context helps verify the profile and gives searchers a useful next step.

Carnegie Mellon University Software and Societal Systems Department
Carnegie Mellon University Software And Societal Systems Department
Societal Computing PhD Student
Pittsburgh, PA, US
AeroLeads page
14 roles

Michael Feffer work experience

A career timeline built from the work history available for this profile.

Societal Computing Phd Student

Current

Pittsburgh, PA, US

Study and apply machine learning and artificial intelligence techniques to problems in the humanities and social sciences. Current problems of interest include but are not limited to:algorithmic fairnesssustainabilitydata-driven humanitiesmusic information retrieval

Aug 2021 - Present

Research Intern

Stockholm, Stockholm County, SE

Worked as a graduate research intern on improving automated speech transcription, namely by exploring modifications to OpenAI’s Whisper family of open-source language transcription models, with the goal of obtaining better transcripts for Spotify’s podcasts. Conducted experiments informed by recent research where approaches ranged from model prompting to.

Jun 2024 - Aug 2024

Research Intern

Ibm

Armonk, New York, NY, US

Worked on two exploratory research projects related to large language models (LLMs) as part of the Responsible and Inclusive Tech team. The first investigated novel processes for prompting LLMs such that responses align with human values and expectations. The second involved prototyping user interfaces that safeguard against prompts that could generate.

May 2023 - Aug 2023

Research Intern

Ibm

Armonk, New York, NY, US

While working remotely with a research team based in Yorktown Heights, NY, I made open-source code contributions to Lale, a Python library for semi-automated data science. I added and debugged several components to pave the way for experiments that evaluated changes in fairness metrics with respect to model parameters and algorithmic bias mitigation.

May 2021 - Aug 2021

Software Engineer Ii

Purchase, New York, US

(APT was integrated into Mastercard D&S in March of 2019.)Develop and maintain calculation infrastructure leveraged by teams that deliver analytic solutionsAlso perform analytic research by investigated new tools and techniques that have potential for utilization in our software

Mar 2020 - Apr 2021

Software Engineer

Arlington, VA, US

Built software for the company's banking clients as part of a team of software engineers, product managers, and quality assurance engineersCollaboratively worked with other employees through code reviewImproved existing code and database architecture to allow for more robust forecasting and prediction techniquesAlso developed frontend tools and widgets to.

Aug 2018 - Mar 2020

Graduate Student Researcher

Cambridge, Massachusetts, US

Explored personalized machine learning techniques that perform human affect estimation with the end goal of creating personalized systems to detect valence and arousal levels from video and imagesConsulted existing and recent literature for architecture inspiration and wrote code to test architectures and hyperparameters with multiple datasets Assisted.

Sep 2017 - Jun 2018

Student

Cambridge, MA, US

Majored in computer science and minoring in musicFocused on software engineering, artificial intelligence, and machine learningParticipated in several extracurricular activities, including a triathlon club and a community service group

Jun 2014 - Jun 2018

Graduate Teaching Assistant

Cambridge, MA, US

Served as a teacher's assistant (TA) for one semester for an intro to machine learning class taught with flipped classroom styleObligations included going over the material for each week at a weekly staff meeting, writing solutions for homework problems, assisting students as they went through problems during class hours, and ensuring that students grasped.

Feb 2018 - May 2018

Development Intern

Amsterdam, Noord Holland, NL

Collaborated with another intern to revolutionize trading software configurationCustomized Docker containers with tools created using Go, Javascript, and MongoDBGave final presentation to interns and full-time employees to summarize improvements

Jun 2017 - Aug 2017

Intern

Cambridge, MA, US

Applied various AI and machine learning techniques to improve written-digit recognitionIteratively developed functionality by experimenting and evaluating changes in performanceCreated proper documentation for code contributions

Jun 2016 - May 2017

Advisor

New York, NY, US

Virtually assisted users via online chat to understand lessons and troubleshoot code errorsAdvised users on which languages to learn pursuant to their individual goals

Aug 2016 - Sep 2016

Intern

Washington, DC, US

Conduct vulnerability analysisWrite tools in Python, PHP, and C and write documentation and usage guidesEngage in the code review process with other interns

Jul 2015 - Aug 2015
4 education records

Michael Feffer education

Doctor Of Philosophy - Phd, Societal Computing

Carnegie Mellon University School Of Computer Science

Master Of Engineering - Meng, Electrical Engineering And Computer Science

Massachusetts Institute Of Technology

Bachelor Of Science, Computer Science

Massachusetts Institute Of Technology

Education record

State College Area High School
FAQ

Frequently asked questions about Michael Feffer

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

What company does Michael Feffer work for?

Michael Feffer works for Carnegie Mellon University Software and Societal Systems Department.

What is Michael Feffer's role at Carnegie Mellon University Software and Societal Systems Department?

Michael Feffer is listed as Societal Computing PhD Student at Carnegie Mellon University Software and Societal Systems Department.

What is Michael Feffer's email address?

AeroLeads has found 1 work email signal at @predictivetechnologies.com for Michael Feffer at Carnegie Mellon University Software and Societal Systems Department.

Where is Michael Feffer based?

Michael Feffer is based in Pittsburgh, Pennsylvania, United States while working with Carnegie Mellon University Software and Societal Systems Department.

What companies has Michael Feffer worked for?

Michael Feffer has worked for Carnegie Mellon University Software And Societal Systems Department, Spotify, Ibm, Mastercard Data & Services, and Applied Predictive Technologies.

How can I contact Michael Feffer?

You can use AeroLeads to view verified contact signals for Michael Feffer at Carnegie Mellon University Software and Societal Systems Department, including work email, phone, and LinkedIn data when available.

What schools did Michael Feffer attend?

Michael Feffer holds Doctor Of Philosophy - Phd, Societal Computing from Carnegie Mellon University School Of Computer Science.

What skills is Michael Feffer known for?

Michael Feffer is listed with skills including Python, Java, C#, C++, C, Html, Php, and Adobe Creative Suite.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.