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Nick Linck

Nick Linck

San Francisco, California

Nick, from the Midwest, studies computer science, works in AI at IBM, and is building The Residency for adaptable education.

Ask me about:
Leadership,
C++,
Photography,
Entrepreneurship,
Java

The Residency

Jul 2022 - Present

Founder

IBM

Aug 2018 - Oct 2021

Machine Learning Research Scientist

Wrote 3 papers and filed 5 patents on topics the of AI, data storage and cyber security.

Researched and defined new metrics to measure intelligence in machines.

Researched the field of misinformation solutions and wrote a white paper to report findings and novel solutions.

Developed an automated testing framework to generate, run, and verify tests in a Kubernetes environment.

Researched how to incorporate psychological theories for human decision making into AI systems, inspired by Daniel Kahneman’s, “Thinking Fast and Slow”. See our paper “Thinking Fast and Slow in AI” which outlines our research questions (https://arxiv.org/abs/2010.06002).

Charles River Development

May 2017 - Aug 2017

Software Engineering Intern

Coded in C# to improve on the company’s portfolio management .NET desktop software. In this position I created automated and unit tests that run on a middle tier server to pull data from an SQL database. I added new functionality to existing test cases so that the tests now check for more potentially incorrect information while keeping function calls the same to maintain stability.

I worked on an agile software development team where I partook in standup meetings, sprint planning and paired programming tasks. In this position I was able to gain more knowledge about trading and financial markets.

University of Michigan

May 2017 - May 2018

Artificial Intelligence Researcher

Published "The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA" - https://arxiv.org/abs/1803.02940

Constructed a recurrent convolutional neural network, in Python with TensorFlow, that analyzes NBA player tracking data in order to predict a specific player’s action. The RCNN is used to create a simulation that will play two teams against one another in order to predict game score, select optimal player matchups, and identify team strategies.

Thomson Reuters

May 2016 - Dec 2016

Software Engineering Intern

Worked on developing and maintaining C++ and C# code for the product Ultra Tax CS, as well as adding enhancements to internal products for the company. I collaborated with tax analysts to create features that are both user friendly and compliant with current tax laws.

Michiganensian Yearbook

Sep 2014 - Apr 2017

Photo Editor

As a photo editor for the yearbook, I manage a team of photographers and coordinate with the writing, design, and business teams to create the University’s yearbook. My responsibilities include hiring photographers, ensuring that all events on campus are covered, selecting and editing photographs that are submitted, and communicating with event coordinators to obtain photo credentials.

MPowered Entrepreneurship

Sep 2014 - Apr 2015

Assistant Director, Startup Olympics

Collaborated with a team in order to create events on campus that were aimed at providing
student entrepreneurs with the skills and guidance to follow through with their startup ideas.

Taught entrepreneurs about customer discovery. For this, I designed a competition, created marketing material, and planned the logistics of the event. With the support of an experienced entrepreneur who we got to speak at the event, three of the startups were able to receive $5,000 in funding. Additionally, two of the startups competed in the TechShop Detroit Startup Competition because of the work they completed at Startup Olympics.

University of Michigan

Double Bachelor's Degree Computer Science Engineering and Data Science Engineering

West Catholic High School

High School

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