My name is Manolis Huerta-Stylianou!
I am a rising senior majoring in Computer Science and minoring in Mathematics and Artificial Intelligence at the Cornell University College of Engineering.
I have been interested in computer science and its applications to multidisciplinary fields of study since my early years of high school when I spent two years involved in bioinformatics research at Regeneron Pharmaceuticals. Since then, I have found a passion for research in the field of computer science, for which I am lucky and grateful for the Hunter R. Rawlings III Cornell Presidential Research Scholars (RCPRS) program and Louis Stokes Alliances for MINORITY Participation (LSAMP) program.
As a research scholar, I have dedicated my college career insofar to demonstrating my passion for applying ML & CV methods to make progress at the frontiers of various cross-disciplinary fields. On campus at Cornell University and over summer '24 at University of Illinois Urbana-Champaign, I have largely involved myself in research projects in digital agriculture – a rapidly developing field of research at the crossroads of traditional robotics and biotechnology. At the CAIR lab over my freshman and sophomore years, I explored the application of Neural Radiance Fields (NeRFs) to the 3D reconstruction of crops, and at CDA over this summer, I took my passion for research so far to a full-time scale by implementing a novel method for efficiently and effectively segmenting crop images using Vector-Quantized Variational Auto-Encoders (VQ-VAEs). This summer, I will apply my work thus far in a brand new perspective, more to come soon!
Outside of my involvement in the application of AI & robotics, I have taken a great interest in the mathematical side of Computer Science over my undergraduate years here at Cornell. Outside of my pure mathematics externalization and minor, I have embarked in two teaching positions to reach a full level of mastery in physics and mathematics, being in the courses of Electromagnetism (PHYS2213) and Computational Math (CS2800). I am also currently attending seminars in Quantum Computing and CS Theory to deepen my understanding of these fields outside of classes. As I have many passions, I am very eager to devote the time necessary to take these interests to the next level.
Thank you for stopping by my GitHub account! Feel free to reach out to me:
- Email: jmh578@cornell.edu
- Quantum Machine Learning Researcher – Arizona State University (2025)
- Center for Digital Agriculture REU – University of Illinois Urbana-Champaign (2024)
- Cyber-Agricultural Intelligence and Robotics Laboratory – Cornell University (2023–2024)
- Regeneron Pharmaceuticals – Bioinformatics Research Intern (2020–2021)
Computer Science: Algorithms, Functional Programming, Discrete Structures, Embedded Systems, Cryptography, Systems Programming, Theoretical CS (PhD Seminar), Algorithmic Game Theory.
AI & Robotics: Machine Learning, Deep Learning, Robotics, AI Reasoning, Large Scale ML.
Physics: Experimental Physics, Mechanics, Electromagnetism, Quantum Mechanics, Teaching Physics.
Mathematics: Multivariable Calculus, Linear Algebra, Honors Real Analysis, Abstract Algebra, Probability, Number Theory.
Programming: Python, Java, C, OCaml, Verilog, SQL, RStudio, ROS, Qiskit
Tools: Git, Linux, Blender, LaTeX
Concepts: Algorithms, Machine Learning, Computer Vision, Digital Logic, Data Structures
Languages: Spanish, Greek (limited working proficiency)
- Quantum Computing Association Member
- ΣΑΜ Candidate Educator & Scholarship Chair
- CU Dairy Science Club
- Cornell Symphony & Chamber Orchestra Violinist
- Cornell Undergraduate Research Board Peer Mentor
Thank you so much for visiting my GitHub!
Feel free to check out my repositories and reach out. I’m always happy to connect and collaborate!