Mentor: Kip Ludwig, Ph.D., Justin Williams, Ph.D., and Kevin Eliceiri, Ph.D.> Examining evoked compound action potential in vagus nerves and creating tutorials for stimulation and recording practices. This required a detailed understanding of anatomy, surgical skills, electro-tissue interface, and neural stimulation/recording techniques.> Developing a novel neuro-signal authenticity estimator algorithm for next-generation closed-loop neurostimulator.> Designing and testing a wireless, implantable photometric probe for closed-loop neuromodulation optical readout.> Leading a collaborative project with the FDA and Harvard Medical School to develop and deploy a complex optoelectric system (polarization sensitive - optical coherence tomography) for assessing nerve regeneration in vivo of peripheral nerves treated with intra-operative electrical stimulation in rodents and swine.> Mentoring three undergraduate students, fostering project management, data analysis, and scientific communication skills to contribute to research publications and grant proposals.

> Conducted a comprehensive evaluation and redesign of the existing digital signal chain, utilizing Python for algorithm development and Jupyter Notebooks for quantitative analysis, enhancing signal processing accuracy in the presence of stimulus artifacts.> Played a key role in initiating and contributing to strategic project development, leveraging cross-domain expertise to advance neuromodulation and signal processing solutions.> Led the creation and implementation of a ringing-free powerline noise filter, employing Python for algorithmic design and quantitative validation, markedly improving EEG signal clarity.> Contributed to the development of a collaborative software signal chain development platform, significantly optimizing the analysis and comparison of EEG signals to established ground truth benchmarks.> Actively engaged in the Scrum framework, collaborating with cross-functional teams to support project delivery and improve signal processing workflows.

> Engaged in an in-depth collaborative analysis to discern the root cause of stimulus artifacts within analog circuitry, utilizing Python and Jupyter Notebooks for robust data analysis and visualization, which informed targeted enhancements to signal integrity.> Assisted in documenting a comprehensive signal chain from hardware to software, addressing the unique challenges of artifacts during simultaneous EEG recording and stimulation, with quantitative evidence illustrating significant system performance improvements.

Developed surgical techniques for chronic 2-photon calcium imaging in the dorsal root ganglion of rodents, and conducted neural imaging research with concurrent electrical stimulation.

Organized and ran science camps for low-income children. Volunteered to visit low-income families and distribute food and supplies to them, helping to address issues related to poverty and food insecurity

> Developed and tested an optical coherence tomography platform designed for open-loop biophysical modeling. This platform aimed to achieve closed-loop blood flow control in cortical blood vessels, utilizing optogenetic techniques, and classic/optimal control strategies to optimize controller efficiency.> Completed a Master of Science degree, where I designed and tested a Kilo-Hz frame-rate high-speed laser speckle contrast imaging system. This system was used for cortical blood flow monitoring in the rodent cortex, highlighting my skills in high-speed imaging and biophotonics.

for EE 474 Introduction to Control System, EE 306 Introduction to Electrical Engineering, EE 354 Digital Logic.Led engaging discussions and fostered a dynamic learning environment through guided questions, resulting in increasedstudent participation and understanding. Led and inspired students from diverse fields in comprehending fundamentalcircuit analysis concepts. Facilitated step-by-step problem-solving techniques and promoted student-led discussions toenhance learning outcomes.

> Designed and Taped-out an Analog Front-End IC for wearable EEG devices using TSMC 0.18um CMOS technology.> Led and mentored two senior design project teams, focusing on low-power sensing chips and water-quality sensing systems. Utilized Hspice, Laker, and Cadence for circuit design, guiding teams through pre-layout, layout, and post-layout stages. Teams received an undergraduate research grant and won first place in a competitive undergraduate researchcontest (2012).> Instructed students in IC design workshop to enhance understanding and practical skills in integrated circuit design.