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Daniel Mishler's HomepageGraduate Teaching Assistant Electrical Engineering & Computer Science Research Advisor: Dr. Michael A. Langston Email: dmishler@vols.utk.edu Go Vols! Daniel Mishler's CV(Webpage last updated Sep 3, 2025)
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Before my time at University of Tennessee, Knoxville (UT), I was an undergraduate at Indiana University Bloomington. I studied Physics and Computer Engineering. My research and thesis was designing and implementing instrument drivers with the Neutron Spin Rotation group (NSR) under the direction of Dr. Mike Snow. In my early years of undergraduate research, I worked with the MathCancer lab under Dr. Paul Macklin working on a graphical interface for PhysiCell.
I have gotten the chance to intern both in the private and public sector. In 2019, I interned at NSWC Crane, part of the United States Department of Defense. I was an electrical engineer there, mostly doing quality testing and evaluation. In 2020, I interned at General Motors IT in Austin. My work was mostly in assisting with the development of internal data prediction tools to advise the C-suite about production decisions. In 2021 and 2022, I spent my summers with the Innovative Computing Laboratoy (ICL) at UT. In 2023, I interned with Sandia National Laboratories, where I enjoyed working under Jan Ciesko on a remote memory access programming model.
Due to the end of the Exascale Computing Project (ECP), I am no longer working with the ICL directly Despite the frustrating nature of switching directions, this is also an opportunity! I spent the Spring of 2024 assisting Dr. Langston's lab directly under their End-stage Renal Disease (ESRD) project as a data scientist and optimizer. In the fall of 2024 and on I began work with Dr. Micah Beck on Internet applications and teaching for the Engineering Fundamentals (EF) department at UT, and continue in both of these endeavors.
I spent the summer of 2024 working for Statheros, later acquired by Peerless Technologies. I worked as a software developer working with Artificial Intelligence and Machine Learning (AI/ML). While I retain a working relationship with Peerless, I went down to part-time in the summer of 2025 to focus on dissertation work.