Gilad Gressel is a machine learning researcher and educator with a decade of experience focused on securing ML systems, particularly against adversarial attacks, deepfakes, and misuse of LLMs. As a Research Associate and PhD scholar at Amrita, he leads investigations into active defenses and the nefarious uses of large language models while concurrently directing deep learning efforts at TexNano on medical imaging tasks like pancreatic cancer detection and 3D pre-surgical rendering for congenital heart disease. He also designs and teaches hands-on data science and ML intensives for CodingNomads, emphasizing practical skills and learning-by-doing. Combining a Georgia Tech masters-level background with a linguistics undergraduate foundation, he brings a rare mix of technical depth, human-centered thinking, and applied research that bridges cybersecurity, healthcare AI, and education.
10 years of coding experience
Bachelors, Linguistics, 3.65 GPA, Bachelors, Linguistics, 3.65 GPA at UCSC
Masters Degree, Computer Science, Masters Degree, Computer Science at Georgia Institute of Technology
Nanodegree, Machine Learning, Nanodegree, Machine Learning at Udacity
Contributions:23 commits, 21 pushes, 1 branch in 2 years 1 month
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Gilad Gressel - Research Associate And Phd Scholar