NEW: The Decision Factory — a novel about decisions under uncertainty. Foreword by Warren B. Powell, Princeton University. Get it on Amazon
Applied Operations Research

Adam DeJans Jr.

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A decade of designing and deploying large-scale optimization & simulation systems that drive $60B+ in planning decisions.

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13+ Years Experience
4 Books Published 1 US Patent 27K+ LinkedIn Followers
Adam DeJans Jr.
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Trusted by industry leaders
AmazonAmazon
BoeingBoeing
U.S. ArmyU.S. Army
Gurobi OptimizationGurobi
ToyotaToyota
FordFord
Department of DefenseDept. of Defense
Stellantis / FCAFCA / Chrysler
Infosys ConsultingInfosys Consulting
Bit Bros LLCBit Bros LLC
LeetCodeLeetCode
MarpossMarposs
CaltechCaltech
University of EdinburghEdinburgh
LokadLokad
Oakland UniversityOakland U
Auto-Owners InsuranceAuto-Owners
AmazonAmazon
BoeingBoeing
U.S. ArmyU.S. Army
Gurobi OptimizationGurobi
ToyotaToyota
FordFord
Department of DefenseDept. of Defense
Stellantis / FCAFCA / Chrysler
Infosys ConsultingInfosys Consulting
Bit Bros LLCBit Bros LLC
LeetCodeLeetCode
MarpossMarposs
CaltechCaltech
University of EdinburghEdinburgh
LokadLokad
Oakland UniversityOakland U
Auto-Owners InsuranceAuto-Owners

About Me

Applied operations research scientist with over a decade of experience designing and deploying large-scale optimization and simulation systems in production environments. Former D1 student-athlete turned mathematician turned decision scientist — with a contrarian, practitioner-first approach to decisions under uncertainty.

Expertise in mixed-integer programming, stochastic modeling, decomposition methods, and algorithm design for supply chain and logistics applications. Not interested in models that live in notebooks — only systems that ship and drive real outcomes.

Led end-to-end development of decision systems impacting $60B+ in annual planning decisions, including production planning, vehicle routing, scheduling, and demand-supply matching.

Co-founder of Bit Bros LLC with John Elam, where I author books, consult on decision intelligence, and design career programs for the next generation of data professionals. Former Data Content Lead at LeetCode, and advising a stealth startup in the optimization space.

Optimization

MILP, Stochastic, Decomposition, Heuristics & Metaheuristics

Published Author

4 books including best sellers in MILP Optimization

Co-Founder

Bit Bros LLC — Decision intelligence consulting & publishing

LeetCode Lead

100+ problems published, shaping AI & DS education for millions

Patent Holder

Dynamic programming-based route optimization (US20210133643A1)

Production Systems

Enterprise-grade cloud deployments at scale

The world doesn't need another dashboard. It needs decision systems that embrace uncertainty, run in production, and make money while you sleep. I build those.

What I'm Up To

status.log
ACTIVE FOCUS
Writing Book #5Supply chain optimization handbook
IN ROTATION
Decision ArenaInteractive decision-making platform by Bit Bros
Stealth Startup AdvisorEarly-stage AI company
ONGOING
เรียนภาษาไทยLearning Thai language — อ่านและเขียนภาษาไทยได้นิดหน่อย 🇹🇭

Beyond the Models

Life isn't just LP relaxations and branch-and-bound — sometimes it's a steak dinner or a skytrain ride in Bangkok.

Adam at a fine-dining dinner
Off the Clock

Steak & Strategy

Some of the best decision frameworks get sketched next to a good whiskey.

Adam in Bangkok, Thailand
On the Road

กรุงเทพฯ · Bangkok

Currently learning Thai — อ่านและเขียนภาษาไทยได้นิดหน่อย. Travel keeps the modeling sharp.

What People Say

"I have yet to see a data/decision scientist who drives a larger amount of direct business value — his projects generate new profit in excess of $100 million/year. He's the guy we put in charge of our most complex problems. He can dive deep into the technical details with our engineering teams, then turn around and explain the same concepts to executives in a way that actually makes sense."
Douglas Wong
Douglas Wong Applied Scientist @ Amazon · Former Toyota
"You know that feeling when you're facing a complex problem and you just can't see the optimal path? That's when you call Adam. He isn't just an expert in optimization; he's a master of navigating uncertainty. What truly sets him apart is his ability to bridge the gap between technical solutions and real-world business insight."
Kino Choi
Kino Choi Manager @ Ford · Former Toyota
"I've had the pleasure of working closely with Adam at three companies. He didn't just build models. He reshaped how we think about modeling. He championed the use of advanced mathematical programming and Sequential Decision Analytics to bring uncertainty, simulation, and real-time feedback into our decision systems. His work directly influenced major strategic decisions and realized millions in additional profit."
John Kapson
John Kapson Adam's Manager at Toyota & Infosys · Former Ford Colleague
"Adam comes to the problem of decisions under uncertainty without formal training in the field, which means he has the advantage of not having to unlearn his training. He's been able to start fresh, motivated by real problems. Listen to him carefully — he has a better understanding of how to make decisions under uncertainty than any of the mathematicians in this field."
Warren B. Powell
Warren B. Powell Professor Emeritus, Operations Research — Princeton University

Experience

Co-Founder, Author & Tech Strategist

Bit Bros LLC

Jun 2023 – Present
Founder

AI-Powered, Human-Centered Decisions

  • Authored the MILP Optimization Handbooks series — consistent best sellers in optimization.
  • Co-authored "The Decision Factory" — a novel on decisions under uncertainty, featuring a foreword by Warren Powell.
  • Co-authored "You Got the Data Job… Now What?" with John Elam — a guide to accelerating data science careers and stepping into leadership.
  • Built the Decision Arena — an interactive game that brings decision-making under uncertainty to life.
  • Consulting on decision intelligence strategy for organizations adopting optimization and AI.
  • Designed career programs and community learning models that help professionals transition into top roles.

Technical Account Manager

Gurobi Optimization Beaverton, OR

Aug 2025 – May 2026
First 200 Employees

Customer-Facing Optimization Engineering

  • Advanced MILP Diagnostics: Led deep technical investigations of branch-and-bound search behavior, cut generation, LP relaxations, and numerical conditioning. Identified formulation pathologies and redesigned models to reduce integrality gaps, eliminate symmetry, and improve convergence.
  • Algorithmic Scaling: Re-architected large-scale optimization models using decomposition, reformulation, and symmetry-breaking techniques. Enabled 2–5× instance growth while maintaining numerical stability.
  • Performance Engineering: Delivered 30–70% runtime reductions through structured solver tuning workflows including concurrent MIP strategies, presolve control, cut management, and memory optimization.
  • Optimization System Architecture: Advised engineering teams on designing scalable optimization pipelines, helping teams transition from prototype notebooks to production-grade decision systems.

LeetCode

Remote

Aug 2023 – Nov 2025
Promoted

Data Content Lead

2024 – Nov 2025

AI & Data Science Education

  • Orchestrated world-class data content and structured learning paths for millions of developers.
  • Published 100+ problems and solutions in AI, data science, and algorithms, making LeetCode a go-to interview resource for AI and DS professionals.

Solution Author

Aug 2023 – 2024

Content Development

  • Authored high-quality solutions and editorial content for data science and algorithm problems across the platform.

Toyota North America

Plano, TX

Aug 2022 – Aug 2025
Promoted

Data Science Lead, Digital Innovations

May 2025 – Aug 2025

AI Transformation & Decision Intelligence

  • Handpicked to lead Toyota's AI transformation across North America with a mandate to scale globally.
  • Architected Toyota's enterprise decision intelligence framework: integrating optimization, simulation, and probabilistic forecasting into global operations.
  • Championed a culture shift from data dashboards to decision-centric systems, empowering teams to act, not just analyze.

Principal Decision Scientist II

Aug 2022 – May 2025

Supply Chain & Fulfillment

  • Supply Allocation Optimization: Designed Toyota's North American supply allocation engine using MILP in Gurobi, directly impacting $60B in decisions and increasing production by 40,000 vehicles, yielding $390M in additional profit.
  • GenAI-Powered Scheduling: Integrated LLMs into production line scheduling optimizer, reducing diagnostic time by 40% and accelerating scenario analysis from hours to minutes across 15+ planners.
  • Automated Vehicle Ordering: Built ordering recommendation engine leveraging tree-based regression + MILP optimization, increasing profit by $64M.
  • Accessories Recommendation: Customer segmentation model optimizing $700M in inventory, increasing profits by $42M.

Senior AI Consultant

Infosys Consulting Lisle, IL

Sep 2021 – Aug 2022

AI & Automation

  • Package Delivery ETA: Designed real-time AI-driven logistics system using deep learning (TensorFlow) on Azure, processing 300M+ data points daily with a wide & deep architecture trained on billions of records.
  • Expedited Shipping: Developed a custom heuristic leveraging ETA predictions with real-time logistics data, cost considerations, and SLA constraints to minimize late deliveries.

Ford Motor Company

Dearborn, MI

Aug 2018 – Sep 2021
Promoted

Data Scientist

2020 – Sep 2021

Autonomous Vehicles & Smart Mobility

  • Vehicle Fleet Simulation: Led development of a discrete event simulation tool achieving a 27% fleet size reduction while ensuring service reliability.
  • Vehicle Routing: Developed VRP algorithms for ride-hail, shuttle, grocery delivery, and medical transport, successfully scheduling over 300,000 trips.

Operations Research / Data Scientist

Aug 2018 – 2020

Smart Mobility & Logistics

  • Point-to-Point Mobility: Invented and patented a dynamic programming-based route optimization algorithm (US20210133643A1), deployed as an Android application for multimodal route planning.

AI/ML Bootcamp Instructor

Simplilearn (Caltech Partnership)

Nov 2023 – Jan 2024
  • Partnered with Caltech to deliver advanced AI/ML training, equipping professionals with industry-ready skills.

Software Engineer & Data Analyst

Marposs Corporation Auburn Hills, MI

Feb 2017 – Aug 2018
  • Automated Report Generation: Developed a text-mining automation tool using Python (NLTK, Pandas, Flask), reducing manual report generation time by 30%.

Mathematics Lecturer

Oakland University Rochester, MI

Sep 2016 – May 2018
  • Taught mathematics courses while pursuing M.Sc. in Industrial Applied Mathematics.

Books & Publications

Published under Bit Bros LLC

The Decision Factory book cover
2026 · Latest Release

The Decision Factory

A novel about decisions under uncertainty, with a foreword by Warren B. Powell, Professor Emeritus at Princeton University. Featured on the CASTLE Lab research page.

Best Seller — Stochastic Optimization View on Amazon
The MILP Optimization Handbook cover
2025

The MILP Optimization Handbook

Introductory resource on linear and integer programming for applied practitioners.

Best Seller — MILP Optimization View on Amazon
The Linearization Handbook cover
2025

The Linearization Handbook for MILP Optimization

Practitioner's guide to modeling tricks and patterns for linear and integer programming.

Best Seller — MILP Optimization View on Amazon
You Got the Data Job Now What cover
2024

You Got the Data Job... Now What?

Practical strategies and frameworks for advancing in data and decision science careers.

Career Development View on Amazon

Research

Oakland University — w/ Dr. Serge Kruk

On the Automated Discovery of Facet Inducing Inequalities

Combinatorial optimization · Convex hull · Fourier-Motzkin algorithm · Constraint programming

White Papers

Gurobi Optimization

Intelligence, Optimization, and the New Decision Frontier (2026)

Patents

Ford Motor Company

Dynamic programming-based route optimization algorithm — US20210133643A1

Notable Endorsement

Featured by Warren B. Powell, Professor Emeritus of Operations Research at Princeton University, as a collaborator in supply chain optimization at Toyota. Powell wrote the foreword for The Decision Factory and references the book on his CASTLE Lab research page .

Princeton CASTLE Lab — Framing the Problem

Speaking & Media

Hosting

From Classroom to Career — Optimization Professionals Gurobi
Recurring LinkedIn Live Events LinkedIn

Conferences & Lectures

DecisionCAMP 2026 — Panelist Upcoming · Aug 2026
Guest Lecturer — Decision Science & Optimization U of Edinburgh
AI/ML Bootcamp Instructor Caltech × Simplilearn
Graduate Alumni Career Day — Invited Speaker Oakland University · Apr 2023

Podcasts

Explaining Optimization to Executives — Ep 184 · The Value of Better Decisions · The Decision Factory (Decisions Under Uncertainty) LokadTV · w/ Joannes Vermorel
Bridging the Gap Between Theory & Practice — w/ Warren Powell Decision Intelligence Lab
Data Science in Supply Chain · Learn Linear Programming Data to Production
Optimization & Decision Science in Industry DATAcated · w/ Kate Strachnyi
Operations Research, Prescriptive Analytics & Decision Science Data Career Jumpstart · w/ Avery Smith

Technical Skills

Optimization & Simulation

GurobiCPLEXPyomoOR-Tools MILPLPStochastic OptimizationRobust Optimization MetaheuristicsDiscrete Event Simulation AMPL MINLP Benders Decomposition Dantzig-Wolfe Column Generation Lagrangian Relaxation Branch-and-Bound Branch-and-Price Cutting Planes Constraint Programming Heuristics Monte Carlo Simulation

Supply Chain & Decision Science

Vehicle Routing (VRP)Production Planning SchedulingInventory Optimization Decision IntelligencePrescriptive Analytics Demand Forecasting Supply-Demand Matching Facility Location Bin Packing Assignment Problems Digital Twins What-If / Scenario Analysis

Languages & ML

PythonJavaSQLC++ scikit-learnTensorFlowPyTorch R Julia XGBoost LightGBM Time Series Forecasting NLP (spaCy, NLTK) Bayesian Methods Reinforcement Learning

Infrastructure & Tools

DatabricksAzure MLAWS SageMaker DockerSparkPostgreSQL Kafka Airflow Kubernetes Snowflake Terraform Flask FastAPI Dash Streamlit Plotly PowerBI

Honors & Awards

Growth Award Toyota North America 2023
Recognition Award ×3 Ford Motor Company 2019 – 2021
HackWSU — 3rd Place Wayne State University 2017
Froemke Scholarship Oakland University 2016
Magna Cum Laude Oakland University 2016
Dean's List — Every Semester Oakland University 2011 – 2016
VP — Mathematical Association MAA / Oakland University 2014 – 2016
D1 Track & Field — Thrower NCAA / Oakland University 2012 – 2014

Education & Certifications

Oakland University

M.Sc. Industrial Applied Mathematics

Oakland University, Rochester, MI

Specialization: Discrete Mathematics (Optimization & Computer Science)

Research: Combinatorial optimization & polyhedral theory w/ Dr. Serge Kruk

GPA: 3.9 / 4.0

August 2018
Oakland University

B.Sc. Mathematics

Oakland University, Rochester, MI

GPA: 3.89 / 4.0 · Magna Cum Laude

April 2016

Certifications Credly View all on Credly

AWS AWS Machine Learning — Specialty
Microsoft Microsoft Azure AI Fundamentals
Oracle Oracle Certified — Java SE 8 Programmer
AWS AWS Cloud Practitioner
Microsoft Microsoft Azure Data Fundamentals
AWS AWS Solutions Architect
Udacity Udacity — AI Nanodegree
Udacity Udacity — Java Web Developer Nanodegree

Get In Touch

Interested in optimization consulting, speaking, or collaboration? Let's connect.

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Based in Detroit Metropolitan Area