$ cat resume.txt

Denton DeLoss

Staff Solutions Architect / Staff Data Scientist / Staff Backend Platform Software Engineer

PhD scientist turned engineer who has owned the entire data and platform stack, end to end: clinical trial biostatistics and machine learning, backend engineering for an FDA-regulated prescription order system on AWS and Python, and now governed lakehouse architecture on Azure and Databricks for HIPAA and export-controlled data. 10+ years spanning digital health, clinical trials, and regulated data platforms. Holds 2 patents and 7 publications from a research background in perceptual learning and multisensory integration.

Mirion

Staff Solutions Engineer, Data Platform MAR 2026 — PRESENT

Building the enterprise data platform supporting all of Mirion's business lines (Technologies and Medical), focused on governed, analytics-ready data under HIPAA and DOE 10 CFR Part 810
Architecting a lakehouse platform on Azure and Databricks spanning ingestion, transformation, orchestration, and downstream analytics and reporting
Leading data governance implementation in Unity Catalog — classification, tagging, and attribute-based access controls keeping PHI and export-controlled data correctly scoped as the platform scales
Partnering with business and engineering stakeholders to turn ambiguous requirements into durable data models, self-serve analytics, and AI-enabled applications on governed data

Akili Interactive Labs, Inc. 9 YRS 2 MOS

Staff Platform Engineer / Data Scientist JAN 2023 — APR 2026

Owned an FDA-regulated Rx digital therapeutic order system end to end: physician order intake, caregiver approval notification, payment and invoicing, and fulfillment via activation code, integrating Stripe, RevenueCat, Caspio, and internal APIs on AWS
Led backend development for data pipelines, event-driven architectures (Lambda, ECS, API Gateway, SQS/SNS), and DBT analytics infrastructure on Redshift, reducing latency by 40%
Designed and optimized PostgreSQL schemas and indices, accelerating queries on tables with tens of millions of rows by over 100x
Built and maintained CI/CD (GitLab, Jenkins) and Terraform-managed infrastructure as code, improving deployment speed and reducing release errors
Developed internal containerized tooling for the data science team, standardizing workflows and model deployment

Staff Data Scientist SEP 2020 — JAN 2023

Modeled patient behavior and real-world product performance using random forests, multilevel modeling, and AutoML, driving significant improvements in retention and outcomes
Built and maintained internal Python libraries for ingestion, transformation, and parallel processing of large-scale health telemetry, standardizing workflows across the data science team
Developed CI/CD pipelines to automate builds, testing, and deployment of data warehouse ETL jobs and internal tooling

Senior Data Scientist JUL 2019 — SEP 2020

Owned the biostatistics behind clinical outcomes — custom statistical and causal-inference models quantifying treatment delivery and efficacy for a given patient
Collaborated on an AI-based system to interact with treatment via customizable patient profiles, automating QA test cases that previously required manual testing — saving hundreds of hours per release

Data Scientist MAR 2017 — JUL 2019

Designed and maintained a cross-platform event analytics system (Unity iOS/Android, web) enabling detailed analysis of user behavior, onboarding, and retention
Applied ML models to clinical trial data to identify key demographic segments, supporting targeted research and feature development
Enhanced EEG data integration, wirelessly syncing EEG recordings with gameplay events on iPads — reducing latency by 30% and memory usage by 50%

RankScience

Consultant JAN 2017 — MAR 2017

Built a Python library for statistical analysis and sample-size optimization supporting automated A/B testing, improving scalability of SEO experiment automation

UCR Brain Game Center

Software Engineer MAY 2016 — MAR 2017

Developed cognitive-training games in Unity/C#, integrating proprietary ML algorithms for adaptive difficulty across multi-university research

Insight Data Science

Fellow JAN 2016 — APR 2016

Built mediSell, a Python/Flask application integrating Medicare and FDA data to identify high-prescribing physicians by region
Reduced PostgreSQL query times by 80% through indexing and data-model optimization
Created dashboards and predictive models to optimize pharmaceutical sales targeting

Education

Ph.D. — Cognition and Cognitive Neuroscience · 3.96 GPA

University of California, Riverside

2009 — 2015

M.A. — Cognition and Cognitive Neuroscience · 3.96 GPA

University of California, Riverside

2009 — 2012

B.A. — Psychology, magna cum laude · Phi Beta Kappa

University of California, Riverside

2006 — 2008

A.S. — Computer Science and Mathematics

Riverside City College

2002 — 2006

Patents

Cognitive Platform for Deriving Effort Metric for Optimizing Cognitive Treatment

US20220398477A1

JUL 2024

Method and System for Behavioral Training to Improve Sight

US10149795B2

DEC 2018

Selected Publications

Improving Vision Among Older Adults: Behavioral Training to Improve Sight

Psychological Science

DEC 2014

Behavioral Training to Improve Collision Detection

Journal of Vision

JUL 2015

Aging, Spatial Disparity, and the Sound-Induced Flash Illusion

PLOS One

NOV 2015

Skills

Languages

Python SQL Scala Java

Cloud & Platform

AWS Microsoft Azure Azure Databricks Terraform Data Warehouse Architecture Data Governance Data Modeling

Data Science & Biostatistics

Random Forests Multilevel Modeling AutoML Causal Inference Pandas NumPy Scikit-learn

Frameworks & Libraries

Serverless Framework DBT Play

Tools

Git Jira Confluence Kibana Elasticsearch TestRail