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)

Thesis track: An integrated simulation of active noise cancellation using a computational fluid dynamics approach.

Bachelor's in Mechanical Engineering (2014)

Senior Capstone: Design and optimization of a pressure vessel ( Ammonia knockout drum ) ; Fertilizers and Chemicals of Travancore Ltd ( Gov. of Kerala).

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, Stepper motor control, servo motor control, micro-processor programming, Linear actuators.

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, Microsoft bundle, Google Docs.

Link to Complete CV

Awards:

Interdisciplinary Doctoral Fellowship, University of Minnesota (2024-2025)

Arthur Erdman Design Grant, University of Minnesota (2025)

Stanford Neuroscience Travel Grant, Stanford Neuroscience (2023)

COGS Career Development Grant, University of Minnesota (2023)

COGS Travel Grant, University of Minnesota (2022)

UMN Mechanical Engineering Doctoral Fellowship (2021-2022)

M.Tech Fellowship, Ministry of Human Resources and Development, Government of India (2017-2019)