Summary
Samira Khorshidi is a Machine Learning Research Engineer and AI/ML resident at Apple with eight years of experience bridging research and production in Responsible AI, LLM safety, and adversarial robustness. A Ph.D. candidate at IUPUI, her academic work focuses on adversarial attacks and robustness for temporal point processes and generative models, with first-author publications spanning GANs, Hawkes processes, and forensic applications in crime analytics. She brings a strong engineering pedigree from startups to enterprise—leading development and data science teams, shipping recommendation engines and CV tools, and building end-to-end ML systems using Python, TensorFlow, CUDA and graph databases. Based in California, Samira combines deep theoretical expertise with practical experience deploying robust ML in high-stakes domains, and has a track record of translating complex research (e.g., point-process robustness) into applied solutions for safety and risk assessment.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at K. N. Toosi University of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Indiana University–Purdue University Indianapolis
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Bauhaus-Universität Weimar
English, Persian, German, Kurdish, French