Tyler J. Banks

I’m a machine learning engineer at Techcyte, where I build the pipelines that train and deploy AI models for digital pathology. My expertise spans machine learning, computational neuroscience, software engineering, infrastructure automation and cybersecurity, backed by a PhD in computer science.

The fast-spiking interneuron from my amygdala theta model, simulated in your browser and played about nine times slower than real time so each spike can be seen. Its input is a current that rises and falls at 8 Hz, the theta frequency of the basal forebrain input in that model. Change the current or the rhythm, or press and hold the trace for a burst.

29 spikes per second of model time

Experience

More than a decade working full-time in computing, across software engineering, artificial intelligence, DevOps infrastructure, cybersecurity and academia.

2022 – present

Machine Learning Engineer

Techcyte, Orem, UT

Machine learning pipeline teams. Joined as Software Engineer, Senior Software Engineer from 2024, Machine Learning Engineer from 2026.

  • Developed an end-to-end Docker-based AI model deployment service that lets customers securely create and deploy their own models to the Techcyte platform.
  • Researched and implemented a new Mask R-CNN image segmentation software stack.
  • Trained several new image classification models: mitosis detection, an improved mold classifier, and general tissue segmentation.
  • Collaborated with Mayo Clinic research groups to develop models operating on Techcyte data.
  • Led AWS-based deployment of new software stacks, major architecture changes, and web applications, including a client-side DICOM de-identification app and AWS Lambda bridges to third-party AI.
From my tissue segmentation work: the outline is the model finding the tissue on a whole-slide image, including the gap inside the larger piece.

2018 – 2025

Co-Founder and CTO

VUCA Inc., Bethesda, MD, makers of thinktankcalendar.com

  • Developed several modular, Docker-based, API microservice infrastructures, and handled all aspects of web development, data collection, processing and presentation.
  • Designed and built an infrastructure for serverless collection of web information using AWS Lambda, Elasticsearch, SQL, automated testing, and GitLab CI/CD.

2017 – 2022

Cyber Security Analyst

City of Columbia, Columbia, MO

  • Developed web-based vulnerability reporting systems that reduced network vulnerabilities by more than 90% over the course of one year.
  • Established and managed a multi-year security training curriculum for more than 1,400 City employees: yearly mandatory web-based training, phishing campaigns, and weekly citywide cybersecurity updates.
  • Wrote citywide cybersecurity policy, procedures, and incident response plans that put the City of Columbia ahead of its peers on industry metrics.
  • Built security information and event management (SIEM) on the ELK stack; UNIX system management and automation, PowerShell and UNIX scripting, PKI and cryptography.

2015 – 2017

Software Developer II

Shelter Insurance, Columbia, MO

  • Scrum team work on interdepartmental programming projects in Java, HTML, PHP, JavaScript, SQL, jQuery, REST, Spring Boot and Git.

2012

Cyber Security Intern

Pacific Northwest National Laboratory, Richland, WA

  • Identified web-based attacks on the laboratory network, developed scripts, and documented policy.

2009 – 2011

Computer and Media Technician

Lackland Independent School District, San Antonio, TX

  • Supported staff, developed the student ID system, and maintained technology infrastructure.

Education

2013

BBA, Infrastructure Assurance (Cyber Security)

University of Texas at San Antonio, San Antonio, TX

Minor in Computer Science. Advisor: Dr. Nicole Beebe. Final two years financed by a $50,000 NSF Scholarship for Service grant, awarded 2011.

Research

Work at the intersection of machine learning and neuroscience.

2017 – 2023

Researcher, Neural Engineering Laboratory

University of Missouri, Columbia, MO

  • Worked with a team of PhD researchers analyzing biologically realistic neural networks: single-cell models of the crustacean cardiac ganglion, hippocampal theta models, amygdala models of more than 27,000 cells, micturition, and LFP prediction using machine learning.
  • Designed SimAgent, BMTool and SimBuilder, Python programs that streamlined designing and running large-scale neural simulations on supercomputers.
  • Mentored undergraduate seniors on capstone projects such as automated parameter selection in small networks and automated rejection sampling.
  • Listed contributor to the Allen Institute’s Brain Modeling Toolkit (BMTK).
  • Maintained the CyNeuro.org website.

2018 – 2023

WOC Affiliate Researcher, Veterans Health Administration

Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO

  • Data scientist: deep neural network, random forest, and linear regression modeling.

2011 – 2013

Research Assistant

University of Texas at San Antonio, San Antonio, TX

  • Developed offsite malware analysis facilities to study the statistical prevalence of malicious code.
  • Wrote custom software and scripts in Bash and Python for a government client.

Teaching

Many years of designing curriculum, building new teaching tools, grading, overseeing labs, and lecturing.

2022 – 2025

Adjunct, Computer Science

University of Central Missouri, Warrensburg, MO

  • CS 4700: Artificial Intelligence (course site).
  • CS 4150: Object Oriented Programming and Data Structures.
  • Developed curriculum and lectured to incoming graduate students from diverse academic backgrounds.

2018 – 2023

Teaching Assistant, Senior Capstone Design I and II

University of Missouri, Columbia, MO

  • CMP_SC 4970W and 4980W. Helped design prototype senior projects and gave feedback on essays.

2020

Teaching Assistant, Neural Models and Machine Learning

University of Missouri, Columbia, MO

  • CMP_SC 7580/4580. Developed curriculum for machine learning and pipeline automation tasks.
  • Led a team of developers and designed an original Docker-based cyberinfrastructure that gives students access to all the software their course needs.

Summer 2018

Teaching Assistant, Honors Research in Computational Neuroscience

University of Missouri, Columbia, MO

  • ECE 4995, 13 students. A lecturing position; helped develop the curriculum on Hodgkin–Huxley theory.

2016

Teaching Assistant, Software Engineering

University of Missouri, Columbia, MO

  • CMP_SC 4320, more than 50 students. Supervised and assisted 14 team programming projects run with Scrum.

2012 – 2013

Undergraduate Teaching Assistant, Java I and II

University of Texas at San Antonio, San Antonio, TX

  • Instructional aid for student programming homework and projects.

Publications

Papers and theses

2025

Basal forebrain innervation of the amygdala: an anatomical and computational exploration

Tuna T*, Banks T*, Glickert G, Sevinc C, Nair S, Unal G

Brain Structure and Function 230, 30

2024

On Scaling Neuronal Network Simulations Using Distributed Computing

Omelyusik V, Shehzad K, Banks T, Rao P, Nair S

SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, pp. 745–749

2023

Neural Modeling Case Studies at Biophysical, Machine Learning, and Automation Levels

Banks T

PhD dissertation, University of Missouri

2023

Predicting opioid use disorder before and after the opioid prescribing peak in the United States: a machine learning tool using electronic healthcare records

Banks T, Scherrer J, Tung T, Uhlmann J, Nair SS

Health Informatics Journal

Drafted

Pipeline for Biophysical Modeling of a Large Class of Neurons

Banks T, Omelyusik V, Nair S

Manuscript fully drafted

2021

Model of the Generation of the Amygdala Theta Rhythm

Banks T*, Tuna T*, Canfield P, Unal G, Nair SS

IEEE EMBS Conference on Neural Engineering (NER ’21), May 4–6

2021

An Efficient Pipeline for Biophysical Modeling of Neurons

Opsal N, Canfield P, Banks T, Nair S

IEEE EMBS Conference on Neural Engineering (NER ’21), May 4–6

2016

CNN-Fold: Protein Fold Recognition by Deep Convolutional Neural Networks

Banks T

Unpublished master’s thesis project, University of Missouri

* Equal contribution.

Posters and talks

2020

Resonant and synchronizing mechanisms in a hippocampal theta model

Banks T, Guntu V, Hummos AM, Nair S

Japan Neuroscience Society presentation and poster, Kobe, Japan, July 31

2019

Automating development of biophysical single cell models

Wei Q, Banks T, Latimer B, Chen Z, Nair S

Society for Neuroscience poster, Chicago, IL, October 21

2019

Software automation for research and training in neural engineering

Nair S, Banks T, Latimer B, Chen Z, Lyu Z, Chen Z, Dopp D, Fotoohighiam A, Calyam P, Joshi T, Xu D

Society for Neuroscience poster, Chicago, IL, October 21

2019

Characterizing resonant and synchronizing mechanisms in a hippocampal theta model

Banks T, Guntu V, Hummos AM, Nair S

Society for Neuroscience poster, Chicago, IL, October 20

2019

Detailed biologically realistic model of a crustacean cardiac ganglion network

Dopp D, Banks T, Samarth P, Kick D, Schulz D, Nair S

Society for Neuroscience poster, Chicago, IL, October 20

2019

Computational modeling of the neural circuit of rodent lower urinary tract

Latimer B, Banks T, Gahl M, Guntu V, Schulz D, Nair S

Society for Neuroscience poster, Chicago, IL, October 19

2018

Artificial neural networks for prediction of the local field potential

Latimer B, Chen Z, Banks T, Ho D, Kanta V, Headley DB, Paré D, Nair SS

Society for Neuroscience poster, San Diego, CA, November 7

2018

Structure of large cells in crab cardiac ganglion: a computational study

Banks T, Wang J, Samarth P, Kick D, Schulz DJ, Nair SS

Society for Neuroscience poster, San Diego, CA, November 5

2018

Software automation for biologically realistic neuro big data simulations

Latimer B, Banks T, Feng F, Ankathatti A, Calyam P, Nair SS

Big Data Neuroscience Workshop, Advanced Computational Neuroscience Network (ACNN), Cleveland, OH, September 6–7

Skills and credentials

Expertise
Computer science, machine learning, computational neuroscience, software engineering, research and publication, infrastructure automation, cybersecurity.
Languages
Python, Go, Java, C, C++, C#, JavaScript, TypeScript, PHP, SQL, Cypher, MATLAB, Octave, sed and awk.
Working with people
Public speaking, training and speechwriting; written and oral communication; at home in a university environment; quick to pick up new skills.
Certifications
Associate of ISC2 (CISSP), 2011.
CompTIA A+, Network+ and Security+, 2009.
Memberships
IEEE; Society for Neuroscience.
Awards
NSF Scholarship for Service grant recipient, 2011.