Resume#

Link to publications

Testimonials#

After working alongside Max for three years at NIH, I must say he is a great to work with Data science wizard, who has the gift to transforms complex data and problems into meaningful and impactful insights. I wish I could incentive him to move to Europe.

Johannes Passecker, Assistant professor, Medical University Innsbruck

Max was my Teaching Assistant in a summer school in 2020 where he guided us to learn Machine Learning techniques useful for Neuroscience. Not only was he a great teacher during the school, he stayed with us long after the school day was over to clarify and make us understand the concepts clearly. Even after the entire school was done, he helped our group of 4 students in submitting our project to a conference to which it was accepted! His hard-working and amiable nature will be a great asset to any employer.

Tanvi Ranjan, Harvard PhD student (Now at Facebook Reality Labs)

Education#

  1. Dnipro National University, Ukraine

    • 1 year of Optics in Physics curriculum

  2. Community College of Southern Nevada

    • Research project on antibacterial desert plants

  3. University of Nevada, Las Vegas

    • Biology BS

    • McNair Institute thesis in Bayesian analysis of behavioral data

  4. Indiana University

    • Neuroscience PhD

    • Dissertation in optogenetic silencing and in vivo behaving multielectrode single-unit recording on a 12-arm radial maze

    • > six papers, one first-author

Work experience#

National Institute of Mental Health, 2018 - now

  • Laboratory of the Institute director, Joshua Gordon

  • Closed-loop stimulation and recording in T-maze

  • One published paper, four in progress (two first-author)

  • Design and deployment of complete codebase for ingesting and retrieval of relational databases (1-20 Tb)

Skills#

Programming#

  • Python, MATLAB , some C, some R

  • PEP 8

  • Git

  • Unit testing including mocking, fixtures

Data analytics at scale#

  • Python ML and statistics stack (scikit-learn, statsmodels, scipy, numpy, some jax)

  • Interactive visualization and dashborading with Altair and Bokeh/Panel

  • Markov chain Monte Carlo with GPU acceleration (numpyro, pymc)

  • Parallelization

  • Relational databases with direct acyclic graph

DevOps#

  • Linux (including realtime), Docker, emacs, zsh, package management

  • Comfortable with CLIs (click, argparse)

  • Sockets

  • GitLab CI, GitHub actions, Grafana

  • Integrating tricky SDKs

  • Static HTML from Python code

Bench biology#

  • Mouse and rat neurosurgery

  • Immunohistochemistry

  • Behaving mouse and rat recording and stimulation

General#

  • 3d design and printing

  • Personnel training

  • Project management, Agile, Kanban

  • US citizen

Soft#

  • Self-guided learning and problem solving

  • Ability to evaluate timelines and plan ahead

  • Receiving and acting on critical feedback

  • Sensitivity to cultural differences

  • Demonstrated ability to lead a small team of scientists

  • Collaboration including teams inside and outside the organization

  • Technical writing for documentation and publications

Coursework highlights#

  • Graduate-level Electronics design (Physics department)

  • Differential equations in biology (Biology, Physics, and Cognitive science departments)

  • Bayesian statistics with Kruschke (IU) and McElreath (online)

  • Summer school in computational neuroscience (CRCNS), Berkeley University

  • Summer school in computational neuroscience (COSMO), Northwestern University

Teaching#

  • Teaching assistant (TA), Neuroscience lab

  • Training personnel in laboratory procedures and coding best practices (NIH)

  • Neuromatch academy lead TA for EST timezone (international online computational neuroscience school)

Formal CV#