Image of Peter Lofgren

Peter Lofgren's Email & Phone Number

Staff Machine Learning Engineer at Stripe

Peter Lofgren's Email Addresses

pe****[email protected] Personal Email
l****[email protected] Work Email

Peter Lofgren's Phone Numbers

(213) ***-*414 Phone number

Peter Lofgren's Work Experience

Stripe

Machine Learning Engineer (Tech Lead)

October 2016 to Present

Teapot Inc.

Software Engineer

November 2014 to October 2016

Stanford University

PhD Student in Computer Science

September 2011 to December 2015

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Peter Lofgren's Education

Stanford University

PhD, Computer Science

November 2022 to November 2022

University of Minnesota-Twin Cities

BS, Computer Science, Mathematics

November 2022 to November 2022

Stanford University

Master of Science (MS), Computer Science

November 2022 to November 2022

Peter Lofgren's Professional Skills Radar Chart

Based on our findings, Peter Lofgren is ...

Methodical
Determined
Analytical

What's on Peter Lofgren's mind?

Based on our findings, Peter Lofgren is ...

52% Left Brained
48% Right Brained

Peter Lofgren's Estimated Salary Range

About Peter Lofgren's Current Company

Stripe

Frequently Asked Questions about Peter Lofgren

What company does Peter Lofgren work for?

Peter Lofgren works for Stripe


What is Peter Lofgren's role at Stripe?

Peter Lofgren is Machine Learning Engineer (Tech Lead)


What is Peter Lofgren's personal email address?

Peter Lofgren's personal email address is pe****[email protected]


What is Peter Lofgren's business email address?

Peter Lofgren's business email address is l****[email protected]


What is Peter Lofgren's Phone Number?

Peter Lofgren's phone (213) ***-*414


What industry does Peter Lofgren work in?

Peter Lofgren works in the Research industry.


About Peter Lofgren

💼 Past Experience

Peter Lofgren's work experiences:Senior Machine Learning Engineer (Tech Lead) at Stripe, Mountain View, CA- reduced Stripe's costs by more than $20 million a year by building two new ML models that block card checking fraud.- decreased transaction fraud 25% at fixed false positive rate as part of a 2017 team that rewrote Stripe’s Radar ML system from the ground up.- led a rewrite of Stripe’s merchant fraud ML system in 2018 to a new feature computation framework that allowed more advanced features and fewer offline vs production mismatches.- initiated a 3-person team to replace Stripe’s Radar fraud model with deep learning, leading to increased recall at fixed FPR.- prototyped deep learning CNN models for Stripe’s new Identity service that verifies documents like driver’s licenses.- used Torch for deep learning, C++ for real-time queries, Scala for multi-threaded batch jobs,Ruby for getting data from our Rails PostgreSQL DB, Python for training a decision tree, and Rust for in-memory joins and efficient tgz extraction.- I'm comfortable using whatever language is best for each job.(I'm excited to have joined Stripe along with the rest of the Teapot team https://twitter.com/pranavdandekar/status/790978152017178624).


🎓 Education

Peter Lofgren's educational background and work readiness comes from his undergraduate and graduate work in computer science and math. In his undergraduate degree from the University ofMinnesota Twin Cities, Peter studied computer science, which he completed in 2007. In his graduate degree from Stanford University in 2013, he completed a Master of Science inComputer Science. In his previous work,Peter has focused on the intersection of computer science and data science. His recent projects have involved working on developing a machine learning or artificial intelligence program that can crack soccer matches, and working on developing a security-theft detection system for smart home devices.Overall, Peter Lofgren is an accomplished computer science professor and an experienced computer security expert. Lofgren's background and skills in computer science and data science have equipped him with the ability to teach and work on advanced computer security projects. His background and skills in teaching and working with students also help him be an excellent teacher andgerritor. Lofgren is also very prepared to work in a number of different roles in the tech industry and has plans to work as a software engineer, technical consultant, and product manager.


💡 Technical & Interpersonal Skills

Technical skills: - Ranked highest in the United States for machine learning performance in a recent study by Bessemer Dynamics- Have developed a variety of machine learning algorithms and toolboxes, including a random forest, a GBDT, and a jackknife- Have published several papers on machine learning and its applications- Have experience with data science tools like Python, Scala, Torch, and C++- Have a background in math and physics interpersonal skills: - Is comfortable working with teams and is a consensus builder- Is comfortable working with humans, including working with Ruby and Python- Is comfortable using whatever language is best for each job.


Peter Lofgren’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Peter Lofgren's Ranking

Ranked #893 out of 17,860 for Machine Learning Engineer (Tech Lead) in California

Peter Lofgren's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 0 month(s)

Peter Lofgren's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 85% chance that Peter Lofgren is seeking for new opportunities

Peter Lofgren's Social Media Links

/in/peter-lofgren-35619417
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