Lorenzo Cacciapuoti

[email protected] (702) 728-7629

Summary

Motivated Senior student in Electrical Engineering with hands-on research experience in neuromorphic AI systems and mixed signal electronic design. Started original neuromorphic AI project in Nano Neurotechnology Lab as a freshman. Previously led a project on decentralized neural recording arrays.

Education

Purdue University, College of Engineering

08/2022 - Present
Bachelor of Science in Electrical Engineering
  • Minors: Computer Science, Mathematics
  • Expected Graduation: May 2026
  • GPA: 3.93

Research Experience

Nano Neurotechnology Lab

12/2022 - Present

Leading original project translating biophysical findings into a novel neuromorphic AI model to create faster-learning and more computationally efficient AI.

System on Chip Extension Technologies (SOCET)

09/2022 - 05/2024

Designed analog, transistor-level circuits for a novel implantable system of microchips for in vivo neural spike recording to gather large-scale neural data.

Technical Skills

Programming Languages

  • Python: Proficient (PyTorch, Scikit-learn, NumPy, Matplotlib)
  • C++: Proficient (Experience with CUDA for GPU acceleration of ML models)
  • C: Intermediate (Microcontrollers and data structures)

Hardware & Neural Interfaces

  • Circuit Design: Transistor-level analog circuit design for implantable neural recording systems
  • Simulation Tools: Cadence Virtuoso, LTspice

Presentations and Awards

  • 12/2024 Guest Lecturer for UIUC's CS591 course on Biologically Plausible AI | post
  • 10/2024 CERN Institute's Fast Machine Learning for Science conference: Contributed Talk & Conference Proceedings
  • 10/2024 Society For Neuroscience 2024: Poster Session
  • 10/2024 Biomedical Engineering Society 2024: Annual Meeting Poster Session
  • 04/2024 Purdue BME Symposium: 1st Place Oral Presentation
  • 04/2024 Purdue Neuroscience and Physiology Seminar
  • 06/2023 Purdue SURF Scholar: Highly selective, paid summer program for undergraduate researchers