Hiya, I'm Sirish Visweswar 👋, a graduate student in Computer Science at NYU. I’m currently a Computational Neuroscience Researcher at the Neuroinformatics Lab with Prof. Erdem Varol, where I explore cross-modal foundation models and multimodal translation architectures that connect EEG and fMRI data.

I’ve always been curious by nature and love diving into new areas—whether through research, side projects, or creative hobbies. My primary interests sit at the intersection of deep learning, computer vision, and neuroscience, but I’ve also dabbled in reinforcement learning, game development, blockchain, and NLP.

Before NYU, I completed my undergrad thesis at Nanyang Technological University, Singapore, working on text augmentation and LLM-based paraphrasing for Named Entity Recognition. I also published a paper in IEEE Sensors Letters on deep learning for ECG-based myocardial infarction detection.

Outside of tech, I’m into creating art, which keeps me grounded and feeds into my problem-solving style—a mix of creativity, structure, and curiosity.