Ganzer Neurotechnology Lab
Closed-Loop Neuromodulation Machine Learning Neuroplasticity
Closed-Loop Neuromodulation
We are focused on developing closed-loop neuromodulation therapies. Closed-loop neuromodulation integrates several approaches including the recording of disease events and reactive nerve stimulation (figure adapted from Mylavarapu et al., 2023).
Machine Learning
Biosignals recorded during disease events can be decoded using machine learning. Our research uses a number of machine learning approaches to further decipher underlying physiological states (adapted from Ganzer et al., 2022).
Neuroplasticity
Our neuromodulation therapies promote neuroplasticity of damaged control networks to facilitate recovery. We use a number of techniques to assess neuroplasticity including brain mapping, transsynaptic tracing, and more.
Current Lab Members
Undergraduate Researchers
- Alexa Gonzalez
- Andrea Godoy
- Andres Leon
- Anu Ramdin
- Ariana Rejas
- Ben Broyles
- Bryan Pillai
- Catalina Munoz Duhart
- Che Won Lee
- Chris Gottlieb
- Daniel Alarcon
- Elissa Cimino
- Emily Baker
- Gabriel De Hostos
- Keren Perez
- Liv Nikolich
- Mynor Orellana
- Rachel Farinas
- Rafael Pereira
- Samantha Braun
Past Lab Members
- Alex Miller
- Brayan Betancourt
- Collette Thomas (Ph.D. student; Georgia Tech)
- Dhilani Premaratne (B.S. student; Rice University)
- Julie Ornelas (M.S. student; Florida Atlantic University)
- Nicole Koziol (B.S. student; Boston University)
- Patrick Arter (Research Specialist; Harvard University)
- Peter Kasarda (Researcher; Carnegie Mellon University)
- Ronyra Nicolas (B.S. student; Miami Dade College)
- Skye Conlan (Ph.D. student; University of Miami)
- Valerie Yunis Ott (Researcher; University of Miami)
- Victoria Pernas