Mitchell Shuster Email & Phone Number

Philadelphia, Pennsylvania, Us

Machine learning (regression, neural nets, SVMs, clustering, PCA, anomaly detection, etc.).Version control systems (specifically Git) for contributing to production code.Unit tests for automated testing of code during development and prior to promoting to production.Relational database design and maintenance, optimized for application-specific purposes.Programming websites/servers/databases from scratch and maintaining existing code (Node.js, Angular, Firebase, Sequelize, PHP, ASP, MySQL, SQL, PostgreSQL, jQuery, JavaScript, Pug, HTML, CSS etc.). Manage contractors to ensure work meets quality standards and promised time frames.Handle intellectual property. File and pursue patents pro se. Awarded patent #7,707,864 for an unpickable lock design.In the capacity of a Managing Member, perform market research and customer service, make product and pricing decisions, manage cash flow, and fill other roles, as needed.

Paris, France, Fr

• Lead a group of up to eight direct reports with varied backgrounds (data science, application development, data modeling, data governance, DevSecOps, etc.) and various consultants across multiple high-priority projects.• Manage cross-functional, technical teams building end-to-end solutions including the creation of industrialized workflows for machine learning generation and prediction; user-facing applications for data analysis and data visualization, and request management; and a foundational data product and associated data sets for data science.• Introduce new ways of working (true agile methodologies), empowering developers, improving project delivery cadence and quality, improving alignment to business needs, and retaining talent for the organization.• Establish the team’s strategic direction and set goals, aligning to overall organizational strategy and user needs.• Coordinate with other sub-team leads and other parts of the organization to align on priorities and ensure support.• Balance the delivery of key software products, developing foundational capabilities to support broad present-day needs and longer term value, and ensuring the creation of robust tools and architectures to allow for acceleration over time.• Ensure projects have appropriate resourcing capacity and expertise through recruitment and contracting, coordinating with other departments, and talent development within existing teams.• Mentor/coach, growing individual’s capabilities to lead teams and projects, aligned with each individual’s goals while supporting the overall needs of the business.• Build a culture of psychological safety, innovation, and collaboration, enabling teams to do their best work, exemplified by the creation of at least three key business applications that would otherwise not have existed.• Promote user engagement during the development process, ensuring alignment of development outputs to business needs and leading to delighted users and high engagement.

Dublin 2, Ie

Leading teams in Life Sciences on Data Science and other projects. Some example roles and responsibilities:• Act as a Data Science or Life Sciences Subject Matter Expert (SME) on proposals and presentations for $0.5m to $60m deal pursuits, starting at the RFP response stage and continuing through final oral presentations.• Build teams for project delivery, assessing resumes and interviewing candidates for technical capabilities and fit.• Mentor personnel from a range of backgrounds, providing career guidance and conducting performance reviews.• Architect and execute on the creation of a domain-specific language (DSL) to accelerate the creation of electronic Clinical Outcome Assessments (eCOA) and configurations for data collection via connected devices for clinical trials.• Provide direction and technical expertise on feature definitions, analytics methodologies, actionable indicators, summary statistics, and UX considerations for dashboards targeted at providing portfolio-level status tracking of clinical trials and allowing early intervention based on leading indicators of possible data collection concerns.• Set the strategic vision and lead the team for the delivery of a Managed and Exploratory Analytics Platform, including the design of the user interface, the technology selection process, feature requirements, documentation, and the presentation of the concept to clients.• Lead teams developing statistical and machine learning models to accomplish diverse outcomes, such as identifying potentially relevant signals in clinical trial ADaM data or predicting clinical trial rate of recruitment.

Warren, Nj, Us

Data Science Lead/Project Lead, Global Pharmaceutical Company- Led a team of three to six data scientists in building machine learning, statistical, and other analytic models to predict various important parameters for clinical trial planning such as rate of recruitment, site activation dates, and study enrollment over time- Ran a team of data scientists, data engineers, UI developers, and testers to build a web-based clinical trial planning application using Agile methodologies- Interfaced with business and product users to understand and document requirements, manage priorities, and provide progress reportsData Scientist/Project Lead, Healthcare Provider- Developed and built real world evidence (RWE) models in a big data environment, focused on disease severity, length of hospital stay, and cost for patients diagnosed with sepsis- Created and leveraged a unified patient record to accelerate the generation of specific datasets and allow rapid switching among data analysis targets- Created a customized, interactive search platform to display individual hospital patient data or aggregated statistics based on subpopulation selection criteria and variables of interestData Scientist/Project Lead, Global Pharmaceutical Company- Developed an Enterprise Information Management (EIM) architecture and service model for on-premise, Cloud, and hybrid patterns of data storage and processing spanning multiple geographic locations and supporting user tool selection for analyticsBusiness Architect, Global Biopharmaceutical Company- Led a team of internal and client partners to establish and document business requirements, develop automated test scripts, and execute manual testing for the application under development using an Agile methodology- Interfaced between multiple vendors hired by the client to ensure alignment and identify gaps and risks- Oversaw four application releases over ~10 months, each entailing integration testing, data loading, and documentation

Santa Clara, California, Us

Develop recipes for front-end dry etch semiconductor processing, maintain equipment to support development and manufacturing needs, and design experiments to facilitate the above. This work will become the basis for Intel's worldwide high-volume manufacturing at the newest technology node.Carry out data mining to identify root cause sources of problems, find signals in processing data to predict and correct process issues, identify tool errors, and catch excursions quickly to minimize lost time and resources. Model resulting data to provide system insights. Perform statistical analyses to identify promising solutions to new problems, optimize existing processes, identify problem sources, and devise solutions. Program a fully customized internal website for the Etch division to enable organization and documentation of learnings across all modules. Support, analyze, and perform troubleshooting for equipment and related software for manufacturing, production, and development work. Provide 24/7 on-call support.

University Park, Pa, Us

Developed techniques for creating novel surfaces and nanoscale devices using a combination of nanofabrication, thin film deposition, self-assembly, soft lithography, and surface chemistry.Administered the laboratory’s internal network and external-facing website.Mentored undergraduates and trained colleagues in the use of equipment and lab procedures.

Doctor Of Philosophy (Phd), Physics

Bachelor'S Degree, Physics