Education

PhD Candidate, University of Minnesota (Expected 2025)

Ph.D. Minors in Computer Science & Neural Engineering

Emphasis areas: Bio-photonics, Systems Neuroscience, Robotics, Miniaturization, Precision Engineering

Dissertation title: Neurotechnologies for mapping large-scale cortex-wide cellular activity mediating spatial cognition in small mammalian models

Committee: Dr. Suhasa Kodandaramaiah (Chair), Dr. Matt Johnson ( Neuromodulation Chair) , Dr. Jeff Tithof, Dr. Junaed Sattar (Computer Science Chair) .

Master's in Mechanical Engineering (2019)

Bachelor's in Mechanical Engineering (2014)

Skills

Programming: Python- OpenCV, Pandas, Numpy, Scipy, Pyplot, Sklearn, Seaborn; C++, Matlab, R

Machine Learning: LDA, SVM, PCA, K-Means, Graphical Network Analysis, Decision Tree

Deep Learning: CNN, Reinforcement Learning, GANs, Autoencoders, VAE, Pytorch

Statistical Analysis: GraphPad PRISM, SPSS, MS Excel.

Design: Solidworks, PTC Creo and Catia.

CAE/CFD Analysis: Ansys-fluent, Star CCM+, COMSOL, INSPIRE, Ocean View.

Optical Systems Design: Ansys Zeemax, OpticStudio for doing optical simulations.

Robotic System Integration: ROS, NI Labview

Mechanical Testing: Zwick Roell and Instron testing equipment.

Product Life Cycle Management: ENOVIA Dassault 3D Experience.

Neural Data Acquisition: 1 photon wide field Epifluorescence microscopy, Neuropixel recordings, Intan RHD 64 channel ECog recording, Inscopix

Bioimage Analysis: ImageJ, CalMan, Volpy, CNMFE

Neurobehavior Assays: Figure 8 maze - Perceptual decision making, spatial working memory, Plus maze- Spontaneous Alternation, Barnze Maze - Spatial search strategy and path planning, Water and Food deprivation, Open field experiment, Line Maze experiment.

Neurobehavior Analysis: DeepLabCut, YOLO key point tracking, Bonsai, MyRio 1900

Animal Experimentation: Mouse Craniotomy, Reto-orbital injection, Habituation, Ketamine anesthesia.

Scientific Illustration: Illustrator, Figma

Documentation: LATEX

Link to Complete CV