Glen Ferguson Ph.D.

Glen Ferguson Ph.D. Email and Phone Number

Director, Data Science and AI @ FirstParty
Great Neck, NY, US
Glen Ferguson Ph.D.'s Location
New York, New York, United States, United States
Glen Ferguson Ph.D.'s Contact Details

Glen Ferguson Ph.D. work email

Glen Ferguson Ph.D. personal email

n/a
About Glen Ferguson Ph.D.

As a leader at the intersection of healthcare and AI, I have spent over a decade harnessing the power of AI and machine learning to drive meaningful change in the industry. My journey has been defined by a relentless passion for innovation and a hands-on approach to solving some of the most complex challenges facing the field today.My mission is clear: to push the boundaries of what AI can achieve in improving patient outcomes, operational efficiencies, and the broader healthcare ecosystem. From developing cutting-edge machine learning models that impact millions of lives to architecting systems that scale effortlessly in production, my work is driven by a deep belief that technology, when thoughtfully applied, can revolutionize how we approach healthcare.✦ What Sets Me Apart ✦▸ Architect of Innovation: I’ve led the development of AI products that do more than deliver—they transform. Whether it’s scaling predictive models that support clinical decision-making or creating NLP tools that optimize hospital operations, my work has consistently been at the forefront of impactful, high-value AI innovation.▸ Hands-On Expertise, Always: While I lead teams and set strategic visions, my foundation remains in the code itself. I’m proud of the fact that, even at the highest levels of leadership, I roll up my sleeves to build systems from scratch and craft frameworks. This hands-on experience is a core driver of the success of the products I’ve built.▸ Strategic Leadership: Beyond the technical aspects, I excel in crafting AI strategies that align with business objectives, guiding high-impact initiatives, and scaling product capabilities that elevate entire organizations. At bottom, I am driven by a vision for how AI can unlock new frontiers in healthcare.▸ Scalable Impact: I thrive on building AI solutions that scale seamlessly, and I focus on delivering solutions that are not only powerful but sustainable, creating systems that continue to generate value long after they are implemented.✦ Technical Expertise ✦Tools: Python (scipy, numpy, pandas, scikit-learn, bayesian optimization, scrapy, optuna, hyperopt, statsmodels, keras, selenium, JAX, NLTK, spaCy, Seaborn), SQL, NoSQL, Docker, CircleCI, MLFlow, Ray, Deep Learning, Clustering, Naïve Bayes, Time-series Analysis, NLP, and Computer VisionI believe in the power of AI to make a profound impact, and I’m committed to being at the forefront of this evolution. Let’s connect to explore how we can shape the future of healthcare through the transformative power of AI.

Glen Ferguson Ph.D.'s Current Company Details
FirstParty

Firstparty

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Director, Data Science and AI
Great Neck, NY, US
Glen Ferguson Ph.D. Work Experience Details
  • Firstparty
    Director, Data Science And Ai
    Firstparty
    Great Neck, Ny, Us
  • Syneos Health
    Associate Director, Data Science
    Syneos Health Aug 2023 - Present
    Morrisville, Nc, Us
    Direct the Data Science function within the CRO’s Advanced Analytics Center of Excellence indelivering customized data solutions for large pharmaceutical companies. Develop and executestrategy for 20 large and strategic business opportunities. Lead statistical modeling, datavisualization, and executive presentations, translating complex data into compelling messagingfor senior leaders. Manage and develop growing team of Data Scientists. Oversee analysis ofin-flight studies to identify opportunities for improvement, including partnering with feasibilityand opportunity teams.• Spearheaded design and production of multiple high-impact products, including: • Three self-service data science systems, which had previously generating $60M in additional revenue. • Coordinated the organization’s first data science product, which cut simulation time down to minutes •GTM for machine learning tools producing data-driven insights critical in informingstrategic business development.• Drove efforts to rapidly scale the Advanced Analytics COE, including doubling headcount,expanding technological capabilities, and increasing opportunities by ~100%.• Defined go-to-market strategies for 5 data products, significantly improving internal adoption.• Led transition of data scientist role from a contracted to an in-house.
  • Huckleberry Labs
    Director Of Artificial Intelligence And Machine Learning
    Huckleberry Labs Dec 2021 - Jul 2023
    Irvine, Ca, Us
    At Huckleberry Labs, I was recruited to build a long-standing, sustainable Artificial Learning/ML system from the ground up. Set strategic direction for the group, gaining investors’ complete buy-in. Notable highlights include:- Designed and oversaw the implementation of best-in-class ML and data engineering systems that are cost-optimized, extensible, flexible, and scalable. - Designed system for CI/CD and Infrastructure as a Code that influenced the organization development as a whole and immediately delivered value.- Built and developed a high-performing AI & ML team, ensuring the program was positioned to help the business scale; continued the team’s further development to deliver key results in collaboration with other groups.- Conceptualized and launched the roadmap and strategy for the AI & ML portfolio.- Drove transformational growth in personalization capabilities for the company’s premier product, a sleep tracker app, from 1 model to 21 proven models using 500 million rows of data. This project decreased customer churn by 10%. - Created individualized growth plans to facilitate team members’ development, career advancement, and salary increases in a lean startup environment.
  • Curate Insights
    Principal Data Scientist
    Curate Insights Jun 2021 - Dec 2021
    In this role, I provided advisory services and developed robust client relationships, leading to client expansion and retention for Curate Insights to drive data science initiatives. Some of the focus areas included:- Directed the efforts to expand services from one to three offerings by leading the strategy for the Data Science portfolio. - Led an initiative to develop and deploy a cloud-based solution for a client to recommend health plans, leading to a scalable model the client could leverage, promoting tailored AI to support their needs.- Developed a system for data analysts to visualize high-dimensional data using standard tools.
  • Unioncrate
    Lead Data Scientist
    Unioncrate Jan 2020 - Jun 2021
    New York, Ny, Us
    I was hired into the organization as a Senior Data Scientist and was quickly promoted to a Lead role. In this position, I built and led a high-performing team providing the finance-driven organization with expertise in data engineering, MLOps, and research and development (R&D). - Created a vision for the team and cascading goals to drive and improve reproducibility and design of the data science and data engineering platforms.- Drove automation in the organization through client predictions and data ingestion, automating processes that previously required significant human interaction.- Improved processing speeds for jobs by 10x through benchmarking a system for scalable I/O using native Python libraries.- Reduced incorrect predictions significantly by orchestrating a time-series clustering to determine prediction types that allowed for the development of tailored algorithms for predictions.- Decreased the times for demand planning predictions from three days to two to three hours in some cases by serving as lead architect on an initiative to create a scalable cloud-native internal data science pipeline.- Leveraged programming best practices such as encapsulation and separation of concerns to deliver weekly predictions for sales of high-volume products and retailers to increase scalability.
  • Caserta
    Data Scientist
    Caserta May 2019 - Jan 2020
    New York, New York, Us
    At Caserta, I developed strong client relationships in a consultative role to help drive transformational initiatives within the clients’ businesses. Key contributions in this position included:- Collaborated with a client in the fitness industry to build a production recommendation system for fitness data using machine learning to create real-time class recommendation predictions for members.- Drove and implanted a production-grade extensible cloud-based web automation system for a large charter school system, allowing the client to gain access to multiple inaccessible datasets, leading to vast changes in data availability to drive business change.
  • Albert Einstein College Of Medicine
    Data Scientist/Instructor Of Medicine
    Albert Einstein College Of Medicine Mar 2018 - May 2019
    Bronx, New York, Us
    As an Instructor and Data Scientist, I provided course instruction to physicians on data science topics, including oversight of hands-on projects based upon lessons within the coursework. Additionally, I drove strategic initiatives for the hospital through the impacts of the data science projects completed. Notable highlights:- Partnered with the Radiology department to develop a computer vision system to classify medical images.- Developed an automated diagnosis tool with deep learning for Natural Language Processing (NLP) that used free-text radiology reports, transforming how doctors received patient results with just-in-time notification.- Spearheaded a major operations project focused on predictive modeling to optimize hospital operations for multiple areas, including reducing the rate of missed appointments. - Created a python framework to reproducibly fit and optimize machine learning models at scale.- Wrote a production-grade module for image processing in a custom workflow framework utilized to make predictions for thousands of images.
  • The Michael J. Fox Foundation For Parkinson'S Research
    Associate Director
    The Michael J. Fox Foundation For Parkinson'S Research Jul 2017 - Jan 2018
    New York, Ny, Us
    The Michael J. Fox Foundation for Parkinson’s ResearchAssociate Director, 2017-2018During this time, I was challenged to manage $5M in grant funding for data science and digital health programs with a systematic strategy for the data science and digital health initiatives focused on identifying markers for disease progression.
  • National Renewable Energy Laboratory
    Engineer Iii, Postdoctoral Appointment National Bioenergy Center
    National Renewable Energy Laboratory Mar 2013 - Feb 2016
    Golden, Co, Us
    In this role, I led a team of engineers on a mission-critical project and provided oversight and support for the ARPA-E grant. Accomplishments included:- Developed statistical methods to model effects of 30K+ candidate materials while supporting the discovery of new batteries for industrial and consumer applications in support of the ARPA-E grant.- Enabled rapid material engineering by leading a team of engineers to develop the Surface Phase Explorer, an open-source and web-based tool that automates the statistical analysis of a surface.
  • Argonne National Laboratory
    Scientist Iii, Postdoctoral Appoitment Material Science Division
    Argonne National Laboratory Feb 2010 - Feb 2013
    Lemont, Il, Us
    I joined the lab to model components, implement new modeling methods, and design materials prediction methods for programs focused on transforming technology. My responsibilities included:- Modeled components for new lithium-based batteries leading to a new understanding of component performance that improves battery energy density and safety.- Discovered reactions that drive energy production from water by implementing new modeling methods for atomic-scale materials.- Initiated and designed materials prediction methods for a national Department of Energy program to transform energy storage technology.
  • Indiana University
    Graduate Student And Researcher
    Indiana University Aug 2004 - Feb 2010
    Bloomington, Indiana, Us
    - Performed research in modeling complex materials using numerical techniques, programming and high performance computing.- Significant results in fundamental surface science and in applied materials research.- Published papers in top-tier chemical and physics journals and presented at national meetings.
  • Us Navy
    Electricians Mate Petty Officer 2Nd Class
    Us Navy Sep 1994 - Sep 1999
    Washington, Dc, Us
    While in the U.S. Navy, I served onboard the aircraft carrier U.S.S. Carl Vinson (CVN70) in the electrical division and advanced to lead the flight deck group. I ended my enlistment with the best possible Honorable Discharge.- Served on two Western Pacific deployments in support of combat operations in the Persian Gulf.- Led a group of four who repaired electrical equipment on the flight deck and above.

Glen Ferguson Ph.D. Skills

Chemistry Materials Science Science Data Science Python Data Analysis Catalysis Spectroscopy Nanotechnology Nanomaterials Machine Learning Mathematics Simulations Fortran High Performance Computing Computational Chemistry Research Technical Writing Hadoop Surface Chemistry Written And Oral Presentation Skills Scientific Computing Analysis Powerpoint Linux Teaching Molecular Dynamics Quantum Chemistry Enthusiastic Self Starter Simulation Biochemistry Physics Microsoft Office Computational Materials Science Biophysics Physical Chemistry Organized Multi Tasker R Writing Excel Access Word Electrochemistry

Glen Ferguson Ph.D. Education Details

  • Nyc Data Science Academy
    Nyc Data Science Academy
    Data Science
  • Indiana University Bloomington
    Indiana University Bloomington
    Physical Chemistry
  • Marist College
    Marist College
    Chemistry And Biology

Frequently Asked Questions about Glen Ferguson Ph.D.

What company does Glen Ferguson Ph.D. work for?

Glen Ferguson Ph.D. works for Firstparty

What is Glen Ferguson Ph.D.'s role at the current company?

Glen Ferguson Ph.D.'s current role is Director, Data Science and AI.

What is Glen Ferguson Ph.D.'s email address?

Glen Ferguson Ph.D.'s email address is ga****@****ana.edu

What schools did Glen Ferguson Ph.D. attend?

Glen Ferguson Ph.D. attended Nyc Data Science Academy, Indiana University Bloomington, Marist College.

What skills is Glen Ferguson Ph.D. known for?

Glen Ferguson Ph.D. has skills like Chemistry, Materials Science, Science, Data Science, Python, Data Analysis, Catalysis, Spectroscopy, Nanotechnology, Nanomaterials, Machine Learning, Mathematics.

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