About
Hi, I’m Amir — a PhD candidate at Johns Hopkins University, where I work in the Sarma Lab on machine learning for intracranial EEG, focused on understanding and localizing epileptic seizures from neural signals.
This summer I’m joining Apple in Sunnyvale as a Sensing Data & Interaction SW Intern, working with the Data group in Sensor SW & Prototyping on multi-modal data that powers ML models for products like Apple Vision Pro, Persona, and Spatial Intelligence. ✨
Before that, I spent the summer of 2025 at Dassault Systèmes in San Diego working on generative models for image restoration. I also publish my research — you can find my papers on Google Scholar.
Outside the lab, I think about good design, the intersection of neuroscience and ML, coffee shops in Baltimore, and the occasional side project. Always happy to chat — feel free to reach out.
Skills
A working toolkit picked up across neuroscience, ML, and software engineering.
Machine Learning
- Deep learning & neural networks
- Generative models (diffusion, VAEs, GANs)
- Transformers & sequence models
- Reinforcement learning
- Representation learning & embeddings
Programming
- Python (PyTorch, JAX, NumPy, SciPy)
- MATLAB
- scikit-learn, Plotly, Pandas
- Git & collaborative development
- Linux, Bash, HPC workflows
Neural Data
- Intracranial EEG (iEEG / ECoG)
- MNE-Python, FieldTrip
- Signal processing & spectral analysis
- Time-series modeling
- Clinical data pipelines
Experience
A short timeline of where I’ve been and what I’ve worked on.
Sensing Data & Interaction SW Intern
Joining the Data group in Sensor SW & Prototyping. Building data pipelines and performing exploratory analysis on large multi-modal datasets (image, audio, video, point cloud, 3D mesh) that power ML models for Apple Vision Pro, Persona, and Spatial Intelligence.
PhD Candidate, Biomedical Engineering
Researching machine learning approaches for intracranial EEG analysis, with a focus on seizure localization and characterization in patients with drug-resistant epilepsy. Working at the intersection of neural signal processing, deep learning, and clinical neuroscience.
AI Research Intern
Built generative models for image restoration as part of the AI research team. Explored diffusion-based approaches to recovering high-fidelity detail from degraded inputs.
Robotics, Engineering & Mentorship
BSc in Electrical Engineering. Years of competitive robotics with RoboCup — building rescue robots, mentoring younger students, and competing internationally. Where it all started.
Get in touch
Whether it’s about research, an interesting project, or just to say hi — I’d love to hear from you. The best way to reach me is by email: