Members

Team: Our teams are composed of: Engineers, (Machine & Deep Learning, Radio Frequency, Computer, Wireless Signal Processing, Biological, Nano, Mechanical), Pre Medical, Medical Doctors and Undergraduates. Join us!

Imanuel Lerman MD MS

I am a professor in the Departments of Anesthesiology, and Electrical and Computer Engineering (ECE). I hold a BS in Molecular Cellular and Developmental Biology as well as Kinesiology and Applied Physiology from the University of Colorado at Boulder. I trained at Georgetown University School of Medicine for my MD and an MS in Physiology and Biophysics. My clinical residency training was in Neurology at Yale, and fellowship training in Pain Medicine at the Massachusetts General Hospital. I completed a research fellowship here at UCSD under the VA CESAMH program and won a NARSAD young investigator award through the Brain and Behavior Foundation.

Troy Bu PhD

Troy received his BS/MS in Electrical and Computer Engineering (ECE) at UC San Diego with a research focus on Machine Learning and Data Science. He completed his Ph.D degree in ECE. His current research focuses on electrical and biomagentic signatures characterization in health and disease states.

Johnson Yang, BS

Johnson is pursuing a BS/MS in Computer Science on an AI Track at USCD. He is interested in machine learning, deep learning, computer vision, and medical image processing. Johnson is an R&D engineer and, is building a novel multimode algorithm for ECG rhythm classification and analysis. He hopes to build scalable AI models that can help solve real-world problems in medicine.

Alokita Karmokar, BS

Alokita is a second-year Master’s student in the Electrical and Computer Engineering department at UC San Diego, specializing in Machine Learning and Data Science. Her research interests lie in Generative AI, Unsupervised Learning, and Multimodal Machine Learning. She is volunteering as a Graduate Student Researcher in the lab, eager to contribute to advancements in Multimodal Signal Processing and Generative AI. Outside of academics, she enjoys exploring new places, indulging in music, and discovering diverse cuisines. Her goal is to learn from leading experts in the field and, in the future, share that knowledge with aspiring researchers.

Abhishikta Panja, BS

Abhishikta is a graduate student in the ECE department. She builds models to detect cardivascular diseases and she spends time optimizing Deep Learning models to be faster and run on specific hardware, while also exploring GenAI integration. During her free time, she enjoys reading or hunting down food that doesn’t come in a lab vending machine.

Shreyansh Joshi, BS

Shreyansh is a 2nd year masters student majoring in computer science and specializing in AI. His research interests include Generative AI, Deep Learning. He is helping with building various AI models and related data pipelines to predict and classify various diseases like sepsis, covid-19 and mental health diseases. Shreyansh is also interested in building scalable, distributed systems and integrating them with AI tools to solve real-world problems.

Venu Ajay Chaudhari, BS

Venu is a master student in Computer Science and Engineering. She has strong research interest involving Machine Learning and Deep Learning applications, healthcare analytics, computer vision, and predicative modeling. She is a graduate student researcher for Lerman Lab and focus on developing and optimizing neural networks models for identifying irregularities using ECG signals. Venu hopes to advance her skills in federated learning and biomedical informatics. Outside academics, she enjoys exploring new technologies, reading about AI advancements, and hiking.

Sopyda Yin BS

Sopyda Yin: our Chief Research Assistant is an undergraduate student at the University of California, San Diego studying Human Biology. She has developed an algorithm for processing cardiac data pre-to-post neuromodulation. She currently runs the VNS-PTSD, DARPA-SLEEP, and LPS-MNG study.

Amber Li MD (candidate)

Amber is a UCSD fourth-year medical student. She is passionate about the intersection of psychiatry, neurology, and pain management and aspires to specialize in psychiatry. Amber is in her research year, and researching a novel, miniaturized ultrasound-powered device for treating trigeminal neuralgia. She is also co-authoring a comprehensive review paper on the therapeutic potential of vagus nerve stimulation in treating psychiatric and neurological disorders. Amber enjoys hiking, swimming, sketching, singing, playing video games, and exploring San Diego’s vibrant culinary scene.

Alex Liang MD (candidate)

Alex earned his B.S. in Biology from UC San Diego and is a fourth-year medical student at UCSD School of Medicine. He is leading a literature review on vagus nerve stimulation. Alex is passionate about anesthesiology and plans to pursue a residency in the field, with a strong interest in clinical practice, teaching, and mentorship. Outside of his academic interests, Alex enjoys skiing, grilling, and engaging in Asian-American outreach initiatives.

Jennifer Camacho-de-la-rosa BS (candidate)

Jennifer is a fourth-year USD undergraduate student majoring in Human Biology with a minor in Psychology. Jennifer assists with data entry, recruitment screening, and clinical visits for the VNS-PTSD, DARPA-Sleep, and LPS-MNG studies. She hopes to attend medical school to become an obstetrician-gynecologist. Jennifer enjoys working out, creating handmade rings, and exploring new coffee shops.

Isaac Castillo BS (Pre-MD)

Isaac is a fourth-year UCSD undergraduate majoring in biochemistry and hopes to attend medical school. He assists with data entry, recruitment screening, and clinical visits for the VNS-PTSD, DARPA-Sleep, and LPS-MNG studies.

Emily Yurkevich BS (Pre-MD)

Emily is a fourth-year UCSD undergraduate majoring in Human Biology with a minor in Chinese Studies. Emily helps with data entry and supporting research associates in clinical studies. In her free time, she loves to bake and study foreign languages.

Prior Members

Rosalynn Conic MD PhD MPH

Rosalynn Conic completed medical school at the University of Belgrade in Serbia, followed by a PhD in Clinical Translational Science at Case Western Reserve University. She completed Preventive Medicine residency at UC San Diego along with an MPH in Health Management and Policy and is currently a resident in Physical Medicine and Rehabilitation at the University of Florida. She is interested in data extraction from electronic health records, big datasets and health outcomes research.
Rosie matched to Univeristy of Florida Jacksonville Pain Managment.

Elizabeth Baum MS (candidate)

Elizabeth completed her master's degree in electrical engineering with a focus on medical devices and systems. Her research interests are in bioelectronic circuits specifically for cancer diagnosis and treatment. Within the Lerman Lab, Elizabeth works on ultrasound projects with the goal of characterizing cavitation and tissue displacement in HIFU procedures.

Christina Cui MD MS (2019-2022)

Christina was a medical student whom completed her masters degress in clinical research. She is examined the frequency specific neural and physiological effects of spinal cord stimulation. She is now a Vascular Surgery Integrated Residency Program resident at Duke Medical Center.

Jacob Caylor MD (2021)

After completing medical school at the University of Washington in Seattle, Jacob completed his residency in Anesthesiology at UC San Diego, where he was chief resident, and followed on with an Interventional Pain Medicine Fellowship at UC San Diego. Jacob has a special research interest in sex-specific responses to spinal cord stimulation. Looking forward, he has an interest in teaching, population, gender specific targeted spinal cord stimulation and targeted intrathecal drug delivery for cancer pain patients.

Current: Private Practice Interventional Pain Physician

Aaron Zeng BS (2020)

Aaron is an undergraduate student majoring in Electrical Engineering. He is highly involved in ongoing neural recording experiments and has developed multiple signal processing pipelines for the lab, (i.e.,UCSD Multi-layered Recursive Least Square (UCSD-RLS) algorithm). He is pursuing a PhD program in Brain Machine Interface(BMI) after undergraduate graduation. He enjoys board games.

Current: Carnegie Mellon University MSc candidate in Neural Engineering.

Yan Gong MS 2019 (2017-2019)

Yan implemented a real-time beamforming process from raw data and reconstructed B-mode images focused on a peripheral nerve detector that was trained using convolutional neural networks. She successfully extracted the location of the nerve from the beamformed data, validating the idea of real-time FUS guidance.

Current: Washington University in St. Louis, PhD candidate in Biomedical Engineering

Lu Xu MS 2019 (2017-2019)

Lu focus was on focused ultrasound characterization for neural stimulation. Lu developd and characterized multiple FUS systems that were eventually employed in a clinial study. Lu confirmed FUS neural stimulation with evoked potetntial and Magnetoencephalography measures.

Current: Washington University in St. Louis, PhD candidate in Biomedical Engineering

Bryan Davis MD MS 2017 (2015-2017)

Bryan examined the physiological changes that occur pre-to-post non-invasive vagus nerve stimulation (nVNS). Pre-to-Post VNS he showed increased parasympathetic tone and enhanced mood in response to successive heat pain challenges. These findings are consistent with known afferent projections of the vagus nerve and warrant further study.

Current: Pain Fellow Brigham and Womens Hospital, Harvard Medical School.

Edward Zhong MS 2017 (2015-2017)

Edward progammed, designed and implemented systems capable of characterizing autonomic measures during experimental pain paradigms in subjects treated with non-invasive vagus nerve stimulation and spinal cord stimulation.

Current: Lockheed Martin

Nam Nguyen MS 2015 (2014-2015)

Nam built and programmed an anticipation based heat pain paradigm that is now in use at UCSD's PTSD and pain research and stress neuroimaging laboratories. Nam developed novel ECG waveform detection techniques utlized in our neuroimaging studies.

Current: Northrup Grumman

Collaborators:

Rahul Singh PhD: Focused Ultrasound, Ultrasound Imaging, Manufacturing, Design, Commercialization and Regulatory Expert. Farus LLC (Singh Lab (Farus LLC, InflammaSense)
Todd Coleman PhD: Neuronal Signal Processing, Fusion Phsyiological Signal Processing. Gut Brain Interaction. (Coleman Lab)
Ramesh Rao: Signal Processing. (Ramesh Rao Qi)
Mingxiong Huang PhD: Radiology Imaging Laboratory (MEG) (Huang Radiology Imaging Laboratory)
Amir Borna PhD: Sandia National Laboratories, Optically Pumped Magnetometers (OPM), (Amir Sandia Lab)
Peter Schwindt PhD: Sandia National Laboratories, Optically Pumped Magnetometers (OPM), (Schwindt Lab Sandia)
Alan Simmons PhD: Psychiatry and Functional Neuroimaging (fMRI) Stress and Neuroimaging Laboratory (Simmons Lab)
Donald Kimball: Digital Signal Processing Radio Frequency Engineer. (Don Kimball Qi)
Victoria Risbrough PhD: Fear Extinction Learning, Slow Wave and REM Sleep Laboratory. (Risbrough Lab)
Dewleen Bake MD: Posttraumatic Stress Inflammatory Biomarker Laboratory. (Baker CESAMH Lab)
Richard Hauger MD PhD: Biomarker Core Evaluation of cytokines and stress hormones. (Hauger Lab and Core)

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