
Tzuchieh Chao
I am a graduate student pursuing Applied Data Science at the Herbert Wertheim College of Engineering, University of Florida. My academic background combines Business and Data Science, and I am currently involved in the Aventusoft ECG Deep Learning project through IPPD. My interests include Business Analytics, Operations Research, and Mathematical Modeling. I also have previous experience working as a Research Assistant at a research institution in Taiwan. In my free time, I enjoy playing basketball and traveling.

Divyansh Agarwal
I am a Master’s student in Applied Data Science at UF. My interests are data engineering, machine learning and amalgamating AI and medical fields. I hold a Bachelor’s degree in Computer Science and have worked on machine learning pipelines and data science projects in the past. I am also working on RNA Binding Protein Predictions with Dr. Xiao Fan and it has been an amazing experience. Apart from academics, I enjoy following UFC and soccer.
Excited to be a part of this team and work with Aventusoft on their deep learning for ECG project!

Varun Sai Vemuri
I am a master’s student in the University of Florida’s Artificial Intelligence program at the Herbert Wertheim College of Engineering. My academic background is in computer science and engineering, and I am currently working on the Aventusoft ECG Deep Learning project through IPPD. My interests include large language models, biomedical NLP, and cloud-based AI systems, with prior experience in software development, data analysis, and AI-driven applications. Outside of academics, I enjoy building innovative solutions, working with emerging technologies, and exploring how AI can create real-world impact.

Arul Sathya Rajasrinivasan
I’m a master’s student in Artificial Intelligence Systems at UF, fascinated by how machines can learn to see, reason, and make decisions. Through IPPD, I’m contributing to the Aventusoft ECG Deep Learning project, where our goal is to push the boundaries of AI in healthcare. What makes me tick is solving problems that live at the edge of research and reality, from generative AI models that adapt on the fly to autonomous systems that understand the world around them. I enjoy connecting the dots between different technologies and shaping them into practical solutions. When I’m not coding or experimenting, you’ll probably find me on the basketball court or gaming with friends. For me, AI isn’t just a field of study, it’s a way of thinking creatively about how to improve the world around us.

Prithvi Halagere Lokesha
In this section write a short bio of yourself. This can include year/major, past experience, involvement, interests, etc.

Mohammed Abraar Khan Farooq Ali
I’m a master’s student in Artificial Intelligence Systems at the University of Florida, passionate about building intelligent systems that can perceive, reason, and act in the real world. Through the IPPD program, I’m contributing to the Aventusoft ECG Deep Learning project, applying advanced AI methods to healthcare to deliver meaningful impact. My journey spans projects in autonomous driving, personalized recommendation systems, spatio-temporal object tracking, and edge-optimized RAG chatbots, along with published research in healthcare on fetal health prediction and exercise form quantification for injury prevention. What excites me most is working at the intersection of research and application—designing generative AI that adapts in real time, creating autonomous systems that interpret complex environments, and shaping architectures for practical deployment. I enjoy connecting the dots across diverse technologies and turning them into innovative, usable solutions. Outside of academics, I stay active through boxing and unwind by gaming with friends. For me, AI is not just a discipline but a creative mindset for solving problems and reimagining how technology can improve the world around us.