Welcome, I'm Jack Krolik

I’m Jack Krolik, a Neuroscience and Data Science student at Northeastern University. I’ve always been passionate about using technology to improve people’s lives—especially when it comes to brain health and medicine. That interest has grown over time through personal experience, curiosity, and a desire to build things that genuinely make a difference.

My fascination with the brain started back in high school. I joined a mental health club and found myself reading books like Grit by Angela Duckworth, which sparked something in me. Then, during my freshman year of college, I got a concussion. To recover, I started using exercise to get more blood flow to my brain—and it worked better than I expected. That experience really opened my eyes to how interconnected the body and brain are, and it deepened my motivation to understand and support brain health through science and technology.

Around the same time, I was also getting into data—specifically through fitness. I’ve always loved using numbers to track progress and set goals, and over time that turned into a broader interest in data science. I saw how powerful it could be when applied thoughtfully, and I knew I wanted to study it alongside neuroscience. To me, combining those two fields felt like the clearest path to having a real impact in healthcare.

Right now, I’m volunteering at UCSF in Dr. Andrew Krystal’s Neuropsychiatry Lab. I’m working on a research project using over 1,000 hours of intracranial EEG recordings from epilepsy patients. I built a deep learning model—a CNN-LSTM with multi-head attention—to classify sleep stages and detect misfiring neurons. The model improved accuracy by more than 10% compared to baseline, and we’re preparing to publish the work and release the code publicly so others can build on it.

Before UCSF, I spent time at Northeastern’s Brain ImPACT Lab, where I helped lead exercise interventions for people recovering from traumatic brain injuries. I assisted with EEG and MRI sessions and worked on analyzing how physical activity influences recovery. It was one of those experiences that really grounded me in the human side of the science—working directly with patients reminded me why I care about this field in the first place.

I’ve also been fortunate to work in industry. At Suki AI, I led the launch of a medical calculator for clinicians and built an LLM-powered system that reduced medical review time by 96%. Later, at MasterControl, I developed a regulatory compliance chatbot using Neo4j, Mistral-7B, and RAG techniques. It cut response time by 75% and was showcased at a major industry summit, which was an exciting moment.

Looking forward, I’m focused on exploring industry opportunities—especially roles that blend technical work with leadership, like product management or R&D. I’m also open to the idea of a PhD down the line if the right opportunity comes along. Wherever I end up, I want to be working on problems that matter—building tools that push the boundaries of what’s possible in neuroscience, healthcare, and beyond.