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General Information
Full Name | Randolph Linderman |
Education
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2020-- PhD
Duke University - Advisor: Yiran Chen, Ph.D.
- Thesis: Exploiting interclass relationships for improved deep neural network generalization in open-world environments
- Courses
- Deep learning approaches in machine learning
- Probabilistic machine learning
- Software engineering: Object oriented design w/ Java
- Programming in C++/C
- Intro to computer architecture
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2017 Masters of Engineering
Cornell University - Advisor: Jonathan Butcher, Ph.D.
- Thesis: Computational fluid dynamics analysis of the hemodynamic environment in the developing cardiac outflow tract
- Courses
- Computer analysis of biomedical imaging
- Soft tissue biomechanics
- Quasilinear viscoelasticity and biphasic theory
- Advanced bio-fluid mechanics
- Principles of tissue engineering
- Innovation and design of biomedical technologies
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2016 Bachelors of Science
Cornell University
Experience
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May - Aug 2024 R&D Intern on the Computer Vision Team
Kitware Inc. Carrboro, NC - Advisors: Brian Clipp, Ph.D. and Daniel Davila
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2018 - 2020 Associate Computer Engineer, DR-01
Air Force Research Laboratory, Information Directorate, Rome, NY - Advisors: Qing Wu, Ph.D. and Morgan Bishop
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2014 - 2017 Graduate and Undergraduate Researcher
Cardiovascular Developmental Bioengineering Lab, Cornell University - Advisor: Jonathan Butcher, Ph.D.
- Researched mechanotransductory relationship between hemodynamic forces and pharyngeal arch artery (PAA) remodeling during critical developmental stages of avian outflow tract development. Performed computational fluid dynamics simulations on reconstructed micro-CT geometries to determine the mechanical forces acting on vessel walls. Correlated hemodynamic forces to geometric changes in PAAs. Reconstructed 3D geometries on day 3 to day 7 chick embryos with Mimics, 3-matic, and Geomagic software packages. Presented findings at laboratory meetings every semester.
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2016 Summer Internship
Air Force Research Laboratory, Information Directorate, Rome, NY - Advisors: Qing Wu, Ph.D.
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2014 Summer Internship
Air Force Research Laboratory, Information Directorate, Rome, NY - Advisors: Qing Wu, Ph.D. and Morgan Bishop
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2013 Summer Internship
Air Force Research Laboratory, Information Directorate, Rome, NY - Advisors: Qing Wu, Ph.D. and Morgan Bishop
Honors and Awards
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2022 - Honorable mention for impact and relevance to DoD research objectives at the NDSEG National Fellows Conference
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2020 - National Defense Science and Engineering Graduate (NDSEG) Fellowship
Invited Talks
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Jan. 18, 2023 Machine Learning Tech Talk
MADLab Center of Excellence Air Force Research Lab
Professional Service
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Journal and Conference Reviewing
- International Conference on Machine Learning (ICML)
Teaching Experience
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Spring 2022 Software Engineering: Object Oriented Design w/ Java
Duke University, Durham, NC - Professor: Andrew Hilton, Ph.D.
- Guided 2 groups' team projects. Groups tasked with creating a strategy game following agile processes with multiple delivery dates throughout the semester.
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Fall 2021 Programming, Data structures, and Algorithms in C++
Duke University, Durham, NC - Professors: Andrew Hilton, Ph.D. & Genevieve Lipp, Ph.D.
- Taught recitation sessions to reinforce concepts
- Hosted office hours to aid in the students' understanding
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Spring 2017 Electrical and Chemical Physiology
Cornell University, Ithaca, NY - Professors: Peter Doerschuk, Ph.D. & Shivaun Archer, Ph.D.
- Prepared, organized, and supervised 3-hour laboratory exercises
- Hosted office hours to aid in the students' understanding of the laboratory
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Sp & Fall 2013 Computer Programming -- MATLAB
Cornell University, Ithaca, NY - Professor: C. Lindsay Anderson, Ph.D.
- Prepared, organized, and supervised 3-hour laboratory exercises
- Hosted office hours to aid in the students' understanding of the laboratory