Shannon Schlueter, Ph.D. Email and Phone Number
Fort Worth, TX, US
Shannon Schlueter, Ph.D.'s Location
Trent, Texas, United States, United States
Shannon Schlueter, Ph.D.'s Contact Details
Shannon Schlueter, Ph.D. work email
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Shannon Schlueter, Ph.D. personal email
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Shannon Schlueter, Ph.D. phone numbers
About Shannon Schlueter, Ph.D.
Data & Technology Leader: Advancing a 23 year career in data science and engineering distinguished by insightful leadership, diversified critical thinking, experienced solution design and effective problem solving. Attained a reputation as a strong communicator who can interface effectively with pivotal positions across an organization, and who consistently exceeds customer and stakeholder expectations. Demonstrated success managing multiple, complex priorities within aggressive deadlines in high responsibility roles. Adaptable to diverse settings and industries with a history of initiative and quality performance.
Shannon Schlueter, Ph.D.'s Current Company Details
General Genomics Inc.
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Director of ML and AI (Machine Learning and Artificial Intelligence)
Fort Worth, TX, US
Shannon Schlueter, Ph.D. Work Experience Details
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Director Of Ml And Ai (Machine Learning And Artificial Intelligence)General Genomics Inc.Fort Worth, Tx, Us
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Director Of Data ScienceZwift Nov 2022 - Feb 2024Ca, UsResults-oriented leadership with a proven track record of leveraging advanced analytics and machine learning to drive strategic insights and enhance decision-making processes. Adept at translating complex data into actionable recommendations, fostering innovation, and delivering measurable business impact. In this role I directed the following achievements: - Successfully negotiated and implemented from scratch Zwift’s digital transformation to a production data science platform, based on Databricks, to streamline workflows, improve scalability, and foster enhanced collaboration across teams.- Led a team of data scientist (3) and ML engineer (1) to develop and productionalize one realtime deployed, sub 5 second SLA, customer facing prescriptive model as well as four batch deployment, predictive metrics models used to inform global business strategy within a single year. I’m very proud of the 8 week average model development time, I was able to motivate my team to attain while still fulfilling their data research responsibilities. -
Course Instructor | Career Mentor | Data Science GuruGreat Learning May 2022 - Aug 2023Bengaluru, Karnataka, Ind..., Karnataka, InHighly engaged mentor, helping busy professionals learn and apply the skills of data science to modern business practices and problems. - Active contributor of content in the AI/ML professional education curriculum- Connect 1:1 with participants to share industry experience, provide interview advice, and afford career guidance- Engaged with 84 professional education learners and maintained an instructor/mentor rating of 4.89 out of 5.0 -
Chief Data Scientist, Head Of Ai & MlCalido Feb 2022 - Nov 2022I establish and direct technology and data vision and strategy in order to provide the most intelligent insights augmentation platform that has ever existed for product management. Skilled at transforming data into timely and meaningful information to support strategic decisions and policies and to enhance insight, transparency, and accountability.- Led the architecture and development of the core data infrastructure simultaneously providing resources for multi-faceted heterogeneous data science and multi-tenant front-end UI.- Set the vision for and lead the development of advanced data science models such as dynamic content association, recommendation and prioritization, and NLP-based content recognition- Evaluate and set policy and provide strategic decision making on the operations of cloud, data, and dev/ops services -
Principal Data Scientist, Head Of Graph Data ScienceAllstate Dec 2018 - Jan 2021Northbrook, Il, UsI pride myself on recruiting top talent then mentoring and empowering them to deliver their best work. As the lead data scientist and team manager for the development of graph analytics and graph data science, I led the creation and deployment of strategy for the detection and prevention of claims fraud at Allstate Insurance. - Individually responsible for the graph architecture and data ingestion procedures used to develop an enterprise Neo4J graph data engine from the diverse Allstate Data Warehouse to support claim fraud investigation.- Established and led a team to develop an integrated graph analytics system to annually identify over $150 million in previously undetected claims fraud.- Personally responsible for the development and integration of Bayes Net probabilistic methods within the Neo4J graph analytics repertoire while managing direct reports to develop ML-based models using Neo4J. -
Director, Data Science ServicesUniversity Of North Carolina At Charlotte May 2016 - Dec 2018Charlotte, Nc, UsPioneered the design and creation of data science services for the university’s flagship data science initiative, including the SOPHI data lake platform featuring best-of-breed and cutting-edge big data and data science technologies. The SOPHI data lake platform is the foundational infrastructure for both the educational and research missions of the School of Data Science. - Supervised 6 Systems Engineers and 8 Data Science Practitioners directly and reported to the UNC-Charlotte Council of Deans. Promoted to lead the information technology and data science service teams tasked with providing modern data and analytics services university-wide. - Maintained an equally split individual contributor versus managerial role enabling me to be the primary contributor and developer of the SOPHI (Cloudera Hadoop) data lake and Spark cluster data analytics environment.- Successfully navigated the transition from initiative to multi-college collaborative program , facilitating the coordination of IT personnel amongst the distributed IT departments of individual colleges. - Established a culture of data stewardship through proposal and encouragement of a cultural shift from project-centric to data-centered security and life-cycle management. - Seamlessly and unobtrusively implemented significant data security improvements through application of enhanced access control, metadata and audit technologies while fulfilling the role of Data Security Officer. - Developed solution roadmaps for diverse architectures and environments as well as complex policy and best practices development. -
Lead Data ScientistUniversity Of North Carolina At Charlotte May 2014 - May 2016Charlotte, Nc, UsLead the recruiting, development, research and implementation of data science teams and solutions within the UNC-Charlotte Data Science Initiative. Hired to bring expertise of predictive/ prescriptive data science and big data technologies within individual research groups associated with the program. - Consulted with 28 independent research groups exploring data science solutions in an ever growing collection of fields as diverse as market sentiment, fraud analysis, detection of illicit activity using social media, crop improvement through data-assisted breeding, network intrusion detection and student retention and outcome.- This role was primarily characterized as an individual contributor with approximately 75% of work effort dedicated to personally developing data science and data engineering solutions.
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Professor Of Bioinformatics & GenomicsUniversity Of North Carolina At Charlotte Jun 2009 - May 2014Charlotte, Nc, UsMentored graduate research, taught graduate & undergraduate coursework and established an industry-academic collaborative research program. Primary field of research involving the development and application of data science models using Bayesian belief networks for the study of gene regulatory networks and the expression of complex crop traits of agriculturally economic importance. - Graduated 3 Ph.D. and 4 M.S. students as a mentor and co-researcher.- Chaired the development of the Bioinformatics and Genomics Undergraduate degree program.- Partnered with General Mills to develop the departments first industry/academic collaborative research program.
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Assistant ProfessorPurdue University Aug 2007 - May 2009West Lafayette, In, UsPassionately conducted innovative research on the application of General-Purpose GPU acceleration for training deep learning and statistical pattern recognition system. Exceeded in developing interpersonal communication and mentoring skills as an instructor focused on training students in the application of AI and ML techniques.- Youngest assistant professor to be awarded a nationally funded research grant at Purdue University.
Shannon Schlueter, Ph.D. Skills
Computational Biology
Bioinformatics
Genomics
Data Analysis
R
Molecular Biology
Science
Statistics
Sequence Analysis
Systems Biology
Genetics
Shannon Schlueter, Ph.D. Education Details
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Texas A&M UniversityGenetics & Computer Science -
Iowa State UniversityInformatics And Computational Biology
Frequently Asked Questions about Shannon Schlueter, Ph.D.
What company does Shannon Schlueter, Ph.D. work for?
Shannon Schlueter, Ph.D. works for General Genomics Inc.
What is Shannon Schlueter, Ph.D.'s role at the current company?
Shannon Schlueter, Ph.D.'s current role is Director of ML and AI (Machine Learning and Artificial Intelligence).
What is Shannon Schlueter, Ph.D.'s email address?
Shannon Schlueter, Ph.D.'s email address is shannonschlueter@al.st
What is Shannon Schlueter, Ph.D.'s direct phone number?
Shannon Schlueter, Ph.D.'s direct phone number is +170468*****
What schools did Shannon Schlueter, Ph.D. attend?
Shannon Schlueter, Ph.D. attended Texas A&m University, Iowa State University.
What skills is Shannon Schlueter, Ph.D. known for?
Shannon Schlueter, Ph.D. has skills like Computational Biology, Bioinformatics, Genomics, Data Analysis, R, Molecular Biology, Science, Statistics, Sequence Analysis, Systems Biology, Genetics.
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