Michael Matheny Email and Phone Number
Michael Matheny work email
- Valid
- Valid
- Valid
- Valid
Michael Matheny personal email
As a Senior Applied Scientist at Amazon, I work on developing and improving: causal inference models applied to customer purchase preferences for brands, large scale recommendation for search and autocomplete, and fraud prevention on the customer and seller side. I have over four years of experience in applying cutting-edge research and techniques to solve real-world problems that deliver value to customers.Before joining Amazon, I completed my Ph.D. in Computer Science at the University of Utah, where I focused on computational geometry problems related to fast sublinear algorithms for approximating spatial scan statistics, an anomaly detection method commonly used in epidemiology and public policy. I also have a background in high performance, heterogeneous, volunteer, and scientific computing, through various internships and projects as an undergraduate student.
-
Senior Machine Learning EngineerMeta Mar 2024 - PresentMenlo Park, Ca, UsWorking to improve supervised fine tuning and rlhf for the Llama series models at Meta AI. -
Senior Applied ScientistAmazon Jun 2023 - Feb 2024Seattle, Wa, Us -
Applied Scientist IiAmazon Nov 2020 - Jun 2023Seattle, Wa, UsCurrently working as a scientist in the Softlines Discovery team on developing brand recommendation scores.Previously, I worked on the BRP (buyer risk prevention) team on fraud prevention machine learning models. -
Applied Scientist IAmazon Nov 2019 - Nov 2020Seattle, Wa, Us -
Research AssistantUniversity Of Utah Sep 2015 - Oct 2019Salt Lake City, Utah, Us1. Developed the asymptotically fastest additive error algorithms for the maximum discrepancy problem over Rectangles, Halfspaces, and Disks and proved several related lower bounds on this problem. 2. Improved runtime of the state of the art algorithms for spatial scan statistics by more than 100x in some cases. 3. Developed new algorithms and models that allowed scan statistics to be applied to heterogeneous data such as trajectories and regions in a scalable way. 4. Co-Developed new continuous models for kernel-based scan statistics and developed new algorithms for this problem. -
Teacher AssistantUniversity Of Utah Jan 2016 - Dec 2016Salt Lake City, Utah, Us -
Graduate Research InternSandia National Laboratories May 2015 - Aug 2015Albuquerque, Nm, UsI worked on various data mining related projects as a summer research intern. -
Research AssistantUniversity Of Delaware Jun 2011 - Mar 2014Newark, De, Us1. Developed an optimization framework for choosing parameters for the ADIOS I/Olibrary on systems during heavy filesystem contention.2. Wrote software integrating learning games into the pre-existing volunteercomputing project, Docking@Home. -
TutorUniversity Of Delaware Feb 2011 - May 2012Newark, De, UsMentored students in various computer science and math classes. -
Undergraduate ResearcherOak Ridge National Laboratory Jun 2013 - Aug 2013Oak Ridge, Tn, UsWorked on the QMCPack software under Scott Klasky where I developed better checkpointing methods and migrated the code to ADIOS.
Michael Matheny Skills
Michael Matheny Education Details
-
University Of UtahComputer Science -
University Of DelawareComputer Science
Frequently Asked Questions about Michael Matheny
What company does Michael Matheny work for?
Michael Matheny works for Meta
What is Michael Matheny's role at the current company?
Michael Matheny's current role is Senior Machine Learning Engineer @ Meta | Ph.D. in Computer Science.
What is Michael Matheny's email address?
Michael Matheny's email address is mi****@****tah.edu
What schools did Michael Matheny attend?
Michael Matheny attended University Of Utah, University Of Delaware.
What skills is Michael Matheny known for?
Michael Matheny has skills like C++, Matlab, Python, Linear Algebra, Opencl, Parallel Programming, Mpi, Adios, Bash, Java, C, Haskell.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial