Michael A. Magid Email and Phone Number

• Advanced the state of the art in quantum computing by developing and applying statistical models and analytic techniques focused on quantum information theory, quantum Fourier transform (QFT), quantum algorithms for optimization (e.g., QAOA, quantum walks), utilizing quantum linear algebra (QSP, QSVT), quantum error correction techniques. and quantum machine learning (e.g., quantum PCA, QSVM).• Development of optimization quantum algorithms (QAOA, VQE, quantum adiabatic algorithm) for specific problems industrial engineering.• Synthesized complex systems, predictive models, and large language models (LLM) to predict and mitigate genocide and mass atrocity events, guiding data-driven decision-making.• Created several novel machine learning and deep learning algorithms for genome-wide association studies (GWAS), systems biology, and quantum computing, addressing critical challenges in health systems and beyond.• Implemented predictive models and conducted rigorous statistical analyses, integrating diverse data sources such as government and international reports to forecast human trafficking and mass atrocity events.• Collaborated with interdisciplinary teams in the Zhao Lab, the Center for Collective Dynamics of Complex Systems (CoCo), and the DatArt Lab, enhancing problem-solving skills and contributing to high-impact project deliverables.

• Participated in advanced analytics and data-driven studies to support the Value & Evidence (HEOR) mRNA team, driving strategic insights for Comirnaty, Pfizer’s key asset.• Conducted literature reviews, developed compendium tools, and adapted global models to guide decision-making for cross-functional regional and global teams.• Designed and implemented study protocols, data analysis plans, and scientific reports, effectively communicating results to stakeholders to support informed business decisions.• Proposed and led innovative projects utilizing artificial intelligence (AI) and large language models (LLM) to enhance systematic literature review (SLR) processes, aligning with organizational goals.• Managed vendors for data analysis, SLR development, and AI/LLM projects, ensuring project alignment and successful execution through SAP.• Demonstrated expertise in leveraging Electronic Health Records, medical and pharmacy claims, and other real-world data sources to inform evidence-based strategies and optimize business outcomes• Conduct literature reviews, compile compendium tools, support the adaptation of global models, design studies, author study protocols, write data analysis plans, review final study reports and scientific presentations, and support medical writing and review of publications• Propose, manage, and present projects relating to artificial intelligence (AI) and large language models (LLM) in support of systematic literature review (SLR) streamlining in support of Comirnaty and cross-company projects• Vendor management for data analysis, SLR development, artificial intelligence, and LLM projects utilizing SAP• Support value story generation in a cross-functional team with medical, commercial, and market access colleagues

Leveraging databases to research and evaluate growth markets and customer discoveryChosen from highly competitive pool of applicants to participate in Homeland Security Startup StudioCollaborating with team and implemented lean startup methodologiesValidating business model for cutting edge technology from national labsImplemented Hubspot, Airtable, and market research strategiesDocumentation and presentation of technology to stakeholders

Designing and creating the constructs to be used for in vitro and in vivo assessmentIndependently design and clone viral vector constructsPerform in vitro and in vivo assessment of viral vector gene transferPerform quantitative assessments of vector transductionDocumentation and presentation of all work

Assay development, cell culture, and compound management in support of focused projects