Patrick Roos, Phd Email & Phone Number

Providence, Ri, Us

Chevy Chase, Md, Us

Chevy Chase, Md, Us

- Leading the ML Product team to build end-to-end machine learning and AI products leveraging GenAI, LLM, embedding, machine vision, and deep learning to add value to our vendors, couples, and business. - Working closely with product stakeholders, data ops, data science, and engineering to ideate, develop, and A/B test ML products centered around recommendation, search, and personalization. - Collaborating across the organization to drive data processes, architecture, and ML integration and deployment strategies.

Irving, Tx, Us

ATOS zData is focused on artificial intelligence and data science for intelligent end-to-end solutions for its data-driven customers.As Chief Data Scientist, I led, managed, and supported a team of ~ 20 Data Scientists and Engineers to ensure the successful execution of our AI projects across a diverse set of clients - from stakeholder alignment, scoping, solution design, to full production. Drove the development of internal products and capabilities that accelerated the execution of our use cases leveraging machine vision, natural language processing, and general ML.

Baltimore, Md, Us

Acquired by Atos zData.• Led the development of end-to-end artificial intelligence solutions for clients ranging from start-up businesses to fortune 20 companies and spanning a broad range of industry sectors.• Worked closely with business stakeholders, data scientists, and platform/software engineers to devise, design, and implement solutions to clients' advanced analytics problems. • Helped drive and implement strategic growth of the company, including data science process, marketing, technical sales, organization, and management.

Bethesda, Md, Us

Biometry Research Group• Led the implementation and execution of computational efforts around genomics analyses.• Performed data mining and advanced statistical analysis of genetic expression patterns in cancer vs. normal tissue.• Developed, applied, and maintained software pipelines to analyze large cancer genomic datasets for microbial DNA and RNA expression on high performance computing clusters.

College Park, Md, Us

• Developed predictive models and simulations of dynamics of social behaviors and emergence of cross-cultural differences therein.• Developed graph-mining algorithms for community detection in geo-located social networks.

College Park, Md, Us

• Developed predictive and descriptive models of the evolution of risk-preferences and cooperative behaviors in populations. • Developed new algorithms to compute predictive statistics for evolutionary graph theoretic information diffusion dynamics in structured populations (social networks).• Developed high-performance, parallel, network information diffusion simulation code to test different graph partitioning strategies for best speedup and scaling.• Created predictive opponent models using machine learning and incorporated them in game-tree search algorithms to improve agent play against these opponents.• Proved how social learning rules lead to the emergence of conditionally risky strategies through evolutionary game theoretic models.

Charleston, Sc, Us

• Developed a music search and recommendation engine based on aesthetic similarity identified through content-based Music Information Retrieval (MIR).

Charleston, Sc, Us

• Developed genetic programming artificial intelligence music composers using trained artificial neural networks as fitness critics.• Extracted and utilized content-based features of musical pieces for supervised and unsupervised machine learning tasks such as style and popularity classification, clustering, and pleasantness prediction.

Charleston, Sc, Us

• Provided IT help desk performance and trend analysis.• Improved data entry forms and ingestion processes to ensure data consistency and quality.

Phd, Computer Science, Artificial Intelligence Group

Ms, Computer Science

Bachelor Of Science (Bs), Data Science