Hello, I'm Nick.
A ML PhD student.

Welcome to my portfolio website! I am a machine learning PhD student at the university of University of Hawaiʻi at Mānoa under advisor Peter Sadowski.
On this website I host an overview over my research projects, education, and work experience. I plan on writing about interesting things I enounter along my research journey in the future.
In the meantime, check out some of the groups I currently work with:
Sadowski Group
AI Precision Health Institute
Hawaii Data Science Institute

Contact
A picture of Yannik Glaser

About me

I love working on science problems using machine learning. Over the course of my graduate studies I have had the pleasure of exploring many disciplines through the lens of machine learning, including high energy physics, astonomy, biology, remote sensing, and medical imaging.
I am currently most passionate about adapting self-supervised learning techniques to work for non-natural image applications by incorporating domain knowledge.
I am slated to graduate with my PhD by May 2025 after which I am seeking a challenging position where I can leverage my expertise in machine learning, self-supervised learning, and collaborative problem solving to do innovative work in fields such as medical imaging, remote sensing, climate science, and physics.

Education

2020-2025
University of Hawaiʻi at Mānoa
Ph.D. in Computer Science (GPA: 4.0/4.0)
2018-2020
University of Hawaiʻi at Mānoa
M.S. in Computer Science (GPA 3.88/4.0)
2015-2018
University of North Georgia
B.S. in Computer Science (GPA 3.97/4.0)
January 2019 - Present
Graduate Research Assistant
University of Hawaiʻi at Mānoa. Honolulu, HI
September 2018 - December 2018
Graduate Teaching Assistant
University of Hawaiʻi at Mānoa. Honolulu, HI
May 2018 - August 2018
Software Engineering Intern
Mind-Alliance. Remote
May 2017 - August 2017
Software Engineering Intern
SAP Labs, Inc.. Palo Alto, CA
October 2016 - May 2018
Computer Science Head Tutor
University of North Georgia. Dahlonega, GA

Experience

My professional experience. My initial background in pure computer science and software engineering has been complemented by my graduate studies in machine learning. I have 6+ years of experience conducting research in a collaborative setting with machine learning experts and a wide range of domain scientists.

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