At 18, Alexander Geppert isn’t just graduating from Rutgers University–Camden; he’s making history as its youngest graduate of 2025. With a double major in computer science and data science, Geppert has already embarked on a remarkable journey in the field of artificial intelligence (AI), showcasing exceptional talent and dedication.
Geppert’s academic trajectory began in middle school, sparked by an interest in AI during the COVID-19 lockdown. He independently delved into advanced mathematics, laying the foundation for college-level coursework at Raritan Valley Community College (RVCC) while still in high school. This allowed him to enter Rutgers as a junior, demonstrating a proactive approach to learning. His rapid academic progress underscores the opportunities available to motivated students seeking to accelerate their education.
Geppert’s time at Rutgers–Camden extended beyond academics. He joined the rowing team, highlighting the importance of extracurricular activities in fostering teamwork and personal development. Balancing a demanding athletic schedule with rigorous coursework and research reflects his exceptional time management and dedication.
Under the mentorship of Professor Konstantinos Michmizos in the Computational Brain Lab, Geppert developed an innovative AI system. This system utilizes computer vision to interpret human hand movements and translate them into real-time commands for a robotic hand. This research showcases the potential of AI in neuro-rehabilitation and neuro-inspired robotics, fields with significant implications for healthcare and assistive technologies. Professor Michmizos praised Geppert’s maturity and research acumen, highlighting his exceptional contributions to the lab.
Rutgers University–Camden, in partnership with Shorelight Pathways, offers a unique academic environment for international students seeking to excel in fields like AI and robotics. Shorelight provides comprehensive support services, helping students adapt to the US educational system and thrive in their chosen academic pursuits. Geppert’s success story epitomizes the potential of this collaboration, showcasing how it empowers students to pursue cutting-edge research and make significant contributions to their respective fields.
This fall, Geppert will commence his fully funded doctoral program at the University of Wisconsin-Madison, focusing on multi-agent systems and generative AI. His research ambition centers on developing AI systems capable of interpreting complex information, making decisions, and adapting to dynamic environments. He emphasizes the importance of human-AI collaboration, underscoring the need for transparency and understanding in AI systems. His vision for AI focuses on augmenting human capabilities rather than replacing them.
Geppert envisions a future where AI serves as a tool to enhance human learning and decision-making, guiding individuals through complex concepts and fostering critical thinking. His dedication to developing AI that strengthens human intellect rather than fosters dependence underscores a commitment to ethical and human-centered AI development. This forward-thinking approach positions him as a leader in the next generation of AI researchers.
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