Mark Deangelis

Postdoctoral Researcher at Harvard John A. Paulson School of Engineering and Applied Sciences

San Francisco, California, United States
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Summary

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Mark Deangelis is a PhD candidate in Mechanical Engineering at Carnegie Mellon University specializing in biology-inspired robotics, applying controls and machine learning to make microfluidic systems more dynamic. With a decade of robotics experience—from leading a NASA Lunabotics rover capstone to serving as President of the YSU Robotics Club—he blends hands-on mechatronics with strong leadership and teaching chops developed as a TA for dynamics and kinematics courses. Industry internships at Vallourec sharpened his data-driven engineering skills, where he built and documented Power BI tools to automate inventory and inspection analytics for cross-functional users. A committed volunteer with FIRST Robotics and L.E.A.P., he brings a practical, mentorship-oriented approach to translating complex research into usable systems and educational experiences.
code10 years of coding experience
bookBachelor of Engineering - BE, Mechanical Engineering, Minor: Mathematics, Bachelor of Engineering - BE, Mechanical Engineering, Minor: Mathematics at Youngstown State University
bookHonors Diploma, Valedictorian, Honors Diploma, Valedictorian at Champion High School
bookDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Carnegie Mellon University
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Stackoverflow

Stats
76reputation
3kreached
1answer
0questions
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Github Skills (11)

visual-question-answering10
deep-learning10
neural-architecture-search10
architecture10
few-shot-learning9
meta-learning9
pytorch9
tensorflow6
python6
densenet5
localization4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17
Contributions:15 commits, 4 pushes, 2 comments in 1 year 5 months
pytorchvisual-question-answering
Contributions:40 commits, 34 pushes, 1 branch in 1 year 4 months
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