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Richard Kerr, Phd, Mba Email & Phone Number

Chief Artificial Intelligence Officer | CTO at SPODIO
Location: San Francisco Bay Area, United States, United States 11 work roles 6 schools
1 work email found @uga.edu LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Chief Artificial Intelligence Officer | CTO
Location
San Francisco Bay Area, United States, United States
Company size

Who is Richard Kerr, Phd, Mba? Overview

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Quick answer

Richard Kerr, Phd, Mba is listed as Chief Artificial Intelligence Officer | CTO at SPODIO, a company with 3 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at uga.edu and a matched LinkedIn profile for Richard Kerr, Phd, Mba.

Richard Kerr, Phd, Mba previously worked as Chief AI & Data Officer at Wellpay.Ai and Chief Artificial Intelligence Officer at Spodio. Richard Kerr, Phd, Mba holds Master Of Business Administration - Mba, Business Analytics | Finance | Marketing from The Wharton School.

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Email format at SPODIO

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*@uga.edu
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Profile bio

About Richard Kerr, Phd, Mba

Visionary AI Innovator. Award-Winning Data Scientist. Global Data Executive.Seasoned Global Data Executive with over 20 years of success spearheading advanced analytics and pioneering AI initiatives deploying high-performance data organizations and driving billions in value for leading Fortune 500 and high-growth companies.Proven history of building and leading sophisticated data teams scaling from fledgling startups to complex global enterprises. Productionizes breakthrough models to delight customers and catalyze transformative growth. Generates prescient intelligence powering mission-critical decisions.Trusted advisor to elite private equity and venture capital funds, providing unparalleled insights into emerging technologies and guiding strategic investments. Compassionate leader and supportive mentor helping establish the Biotechnology Research Unit at Guyana University.Pioneering Researcher & early champion of generative AI with 15 patents & publications. Recipient of the prestigious Chairman’s Award, Leadership Excellence Award, and BAM awards for Most Innovative Technology and Best Overall contribution to Marketing Technology. Wharton MBA, Georgia PhD.TECHNICAL EXPERTISEPython, SQL deployed on AWS & GCP using Snowflake, Tableau, Power BI, Jira, Github, and Jupyter notebook. Cloud-native Serverless Modular Microservice Architecture, REST APIs, AGILE, SDLC, and CI/CD. Pandas, NumPy, Scikit learn, TensorFlow, Keras, and PyTorch. Cloud deployment of unsupervised, supervised, reinforcement, deep learning, and ensemble models on structured & unstructured large datasets. Recommendation Engines, Optimization, Experimentation, A/B/N testing, Multiarmed bandits, ELT & ETL pipelines, Large Language Models (LLM), General Pre-Trained (GPT) models, and Natural Language Processing (NLP).Advanced statistical modeling, Bayesian Inference, Monte Carlo Markov Chain, causal inference, & time-series analysis. Feature engineering, advanced analytics, and data mining techniques. Descriptive, predictive, and prescriptive models; decision tree, random forest, SVM, xgboost, clustering, and neural networks; DNN, CNN, RNN, LSTM with autoencoders.CONTACThttps://calendly.com/datascidocdatascidoc@gmail.com

Listed skills include Elisa, Immunology, Molecular Biology, Cell Culture, and 85 others.

Current workplace

Richard Kerr, Phd, Mba's current company

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SPODIO
Spodio
Chief Artificial Intelligence Officer | CTO
San Francisco, CA, US
Website
Employees
3
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11 roles · 22 years

Richard Kerr, Phd, Mba work experience

A career timeline built from the work history available for this profile.

Chief Artificial Intelligence Officer | Cto

San Francisco, CA, US

Chief Ai & Data Officer

Current
Oct 2023 - Present

Chief Artificial Intelligence Officer

San Francisco, California, US

  • Online Crypto Gaming Platform Provider (N. America, S. America, APAC).
  • Built and executed the data organization's strategic 5-year technology roadmap to substantially elevate capabilities and drive $10M in incremental revenue.
  • $5M reduction in annual OPEX by championing our AI-powered automated image processing pipeline, improving processing efficiency 22X. Partnered with CMO & head of Design to rapidly validate and scale computer vision.
  • Rocketed the company to the #1 ranked online gaming platform on TicTok in Brazil. Developed strategy leveraging large language models (LLMs) and social listening tools to predict viral and trending topics delivered to.
  • 2X increase in company valuation to $100Mn by developing and executing innovative strategy for a Platform-agnostic Recommendation Engine.
2022 - 2024 ~2 yrs

Director, Data Science (Global & Ecommerce)

Purchase, New York, US

  • $1.8 Billion in accretive value: Partnered with global cross-functional leaders to develop/deploy 3 of PepsiCo’s largest digital transformation initiatives. Generated actionable intelligence on annual revenues of $74Bn.
  • Built the first Data Ecosystem in the industry: Reorganized the eCommerce data strategy, teams, and roadmap to maintain agility and scale with eCommerce growth (Fastest growing BU in PepsiCo history from $350Mm to.
2020 - 2022 ~2 yrs

Chief Technology Officer

San Francisco, CA, US

  • AaaS provider of Language Analytics & Market Intelligence (N. America & Europe).
  • Developed and patented Quuery’s Language engine; Delivers actionable analytics improving customer response rate by 9.4X.
  • Designed the low maintenance data orchestration platform, and underlying high performance architecture, delivered self-service language analytics capabilities scaling to millions of documents per day.
  • Spearheaded development of first-of-its-kind B2C and B2B data products capable of servicing 10,000 simultaneous users without human oversight. Constructed global teams and established go-to-market strategy to drove.
2018 - 2020 ~2 yrs

Chief Data Scientist & Laboratory Manager (Director)

  • Reported to CEO and partnered with Senior Management to develop strategic Research & Data initiatives.
  • Developed a testing program using an embedded Deep Neural Network (DNN) that decreased facility annual operating costs by $14.5Mn, reduced antibiotic use by 90%, and improved treatment effectiveness from 54% to 98%.
  • Partnered with leaders across Revenue, Operations, and Quality Control to grow the department from 0 to 250K+ orders per year across 4 facilities.
  • Designed a Next Generation Sequencing (NGS) workflow and data pipeline, capable of detecting 1.2 million pathogens from a single sample
  • Identified zoonotic bovine coronavirus (bCOV) as the primary cause of juvenile gastrointestinal distress.
2014 - 2018 ~4 yrs

Chief Data Scientist

  • Derived strategic market insights from risk curve capital flow prediction model tracking $1.2 trillion in assets.
  • Built one of the largest repositories of biotech industry research & insights on the VC investment landscape.
2011 - 2014 ~3 yrs

Regional Laboratory Manager Ii

Westbrook, Maine, US

  • Largest Global Animal Health Diagnostics company.
  • Improved EBIDA by $2.3Mn, gross margin (29% to 46%), and revenue to >$11Mn.
  • Reduced overtime (51%) and lost sick time (77%) by building an advanced financial forecasting and workforce planning model. Rolled out to 22 facilities nationwide.
  • Serviced high-profile clients including the Walt Disney Company, Busch Gardens, and SeaWorld Parks & Entertainment.
2013 - 2013

Laboratory Manager

Athens, GA, US

  • Used network traffic, social graph, and ontology analysis on protein interaction maps to create accurate predictions of biological effects, in vitro. This same analysis can be used to predict buyer behavior based on.
  • Predicted effects were confirmed in the laboratory resulting in 7 papers published.
2008 - 2012 ~4 yrs

Laboratory Supervisor

Blacksburg, VA, US

  • Deployed an analytics pipeline producing publication-quality graphs, automated statistical test selection, and user-friendly interpretation decreasing publication time by 2 weeks per study.
  • Reduced testing costs by 90% by developing a rapid molecular detection assay for norovirus, the causative agent of 30M cases of food born illness. Proceeded to human clinical trials with a novel high-pressure.
2004 - 2008 ~4 yrs
6 education records

Richard Kerr, Phd, Mba education

Master Of Business Administration - Mba, Business Analytics | Finance | Marketing

The Wharton School

Doctor Of Philosophy - Phd, Molecular Pathology, Biostatistics

The University Of Georgia

Post-Graduate, Immunology And Toxicology

Virginia-Maryland College Of Veterinary Medicine

Bachelor Of Science - Bs, Biology

Virginia Tech

Bachelor Of Science - Bs, Psychology

Virginia Tech

Advanced Studies Diploma, General Studies

Hickory High School
FAQ

Frequently asked questions about Richard Kerr, Phd, Mba

Quick answers generated from the profile data available on this page.

What company does Richard Kerr, Phd, Mba work for?

Richard Kerr, Phd, Mba works for SPODIO.

What is Richard Kerr, Phd, Mba's role at SPODIO?

Richard Kerr, Phd, Mba is listed as Chief Artificial Intelligence Officer | CTO at SPODIO.

What is Richard Kerr, Phd, Mba's email address?

AeroLeads has found 1 work email signal at @uga.edu for Richard Kerr, Phd, Mba at SPODIO.

Where is Richard Kerr, Phd, Mba based?

Richard Kerr, Phd, Mba is based in San Francisco Bay Area, United States, United States while working with SPODIO.

What companies has Richard Kerr, Phd, Mba worked for?

Richard Kerr, Phd, Mba has worked for Spodio, Wellpay.Ai, Pepsico, Quuery, and Daisy Farms - Texas.

How can I contact Richard Kerr, Phd, Mba?

You can use AeroLeads to view verified contact signals for Richard Kerr, Phd, Mba at SPODIO, including work email, phone, and LinkedIn data when available.

What schools did Richard Kerr, Phd, Mba attend?

Richard Kerr, Phd, Mba holds Master Of Business Administration - Mba, Business Analytics | Finance | Marketing from The Wharton School.

What skills is Richard Kerr, Phd, Mba known for?

Richard Kerr, Phd, Mba is listed with skills including Elisa, Immunology, Molecular Biology, Cell Culture, Western Blotting, Laboratory, Cell, and Research.

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