Hey there 👋
I'm Jack! I'm a student, builder, entrepreneur, and explorer working at the intersection of machine learning, computational chemistry and biophysics, and hands-on engineering.
I'm currently part of the Grazioli Research Group, where I work on simulations, including machine learning simulations for computational chemistry and biophysics. We work to increase scientific understanding through intelligent, data-driven models that can help us in developing a greater molecular understanding and predict reaction products.
Beyond the group, I have also enjoyed working for White Lotus (startup) to consult and develop AI/ML tools to streamline business workflows whether for advertising, finance, or increasing efficency.
I also enjoy building things! I've designed and built drones from scratch, applying engineering principles across thermodynamics, hardware, and software. I am also a co-founder and developer for Water Polo Statsistics where we have developed a voice enabled statistics tracking application to make statistics tracking easier and more automatic for those who enjoy the sport. I enjoy creating apps and experimenting with new technology, whether it's a tool to make life easier or a system to explore an interesting idea.
This website exists for three main reasons:
- 1️⃣ To share my projects and research. Whether it's research from the group, a custom-built drone, or a new app I'm excited about, I want to showcase what I'm building and learning.
- 2️⃣ To explore and organize my ideas. As I continue to work across machine learning, chemistry, physics, and engineering, this site will act as a central place to track the evolution of my interests and insights.
- 3️⃣ To connect with others. I'm always open to new conversations, collaborations, or feedback. Whether you're working in a similar field or just curious, feel free to reach out.
Latest X Posts
My research paper, “Unlocking Transparency: The Role of Non ‘Black Box’ Machine Learning Models in Medicine,” has been published in the November Issue 56 (Part 2) of Curieux Academic Journal, exploring interpretable AI models like SVMs in medicine. Go check it out! pic.twitter.com/VPFH1IovMd
— Jack Spitzer (@JackDSpitzer) October 20, 2025
I’ll be at the American Chemical Society Western Regional Meeting on 10/26! I’m excited to see all the fascinating research being presented, and I’ll be presenting my research, “Exploring Acetaldehyde Photodissociation Pathways Using Interpretable AI Models.” Come by and say hi! pic.twitter.com/YDhU9xsCgc
— Jack Spitzer (@JackDSpitzer) October 20, 2025
Created acetaldehyde molecule using TURBOMOLE to build the geometry, then ran a 10-step simulation with FROG, which I visualized in VMD. This molecule will be important for the continual learning model we're developing with FROG and should help enhance our simulation accuracy. pic.twitter.com/UctfyliUOM
— Jack Spitzer (@JackDSpitzer) July 10, 2025
Cool simulation I created and ran recently! Used TURBOMOLE to generate optimized molecular geometries, then used FROG software to prepare a short molecular dynamics simulation (about 10 steps). Finally, visualized the trajectory of the HCl molecule in VMD! pic.twitter.com/A7WiGXS2ma
— Jack Spitzer (@JackDSpitzer) July 10, 2025
Cool simulation that I ran a few days ago: The simulation is 10 steps and represents a ubiquitin solvated in water. Ubiquitin is protein primarily used for ubiquitination: acting as as a molecular tag, marking proteins for degradation by the proteasome - also used for DNA repair. pic.twitter.com/SF0jkg2689
— Jack Spitzer (@JackDSpitzer) June 13, 2025
Contact Info
If you want to get in touch with me about something or just to say hi, reach out on social media or send me an email. I'm always open to meeting new people and interesting conversations.
©2025 Jack Spitzer