Martin Nwadiugwu, PhD

 Develop and lead machine learning and bioinformatics workflows integrating genomic, clinical, and EHR-derived datasets for cerebral amyloid angiopathy (CAA) and neuroscience research.
 Applied advanced statistical analysis and predictive modeling to identify clinically relevant biomarkers.
 Collaborate with interdisciplinary faculty, clinicians and trainees to support cerebral amyloid angiopathy research.

 Conducted biomedical informatics and genomics research using single-cell and multi-omics datasets.
 Developed machine learning and bioinformatics pipelines for Alzheimer’s disease prediction.
 Built, validated and deployed predictive models integrating genomic, clinical, and cognitive data across external cohorts.
 Performed statistical analysis, data visualization, and interpretation using HPC, Python and R.
 Collaborated on interdisciplinary research and grant-related activities.
 Prepared scientific abstracts, posters, manuscripts, and presentations for dissemination of findings

 Led the development of AI video annotation system using LLMs, Azure Speech, Azure Search, Azure OpenAI, Search Function and Azure Blob storage
 Employed RAG in public health cadiovascular research tool for locals
 Video annotation project can be found on Github (https://github.com/martintony4all/video-annotator)

 Supported program development and implementation leading to Level I Certification from the College Reading & Learning Association
 Mentored over 40 tutors, including tracking attendance, generating weekly reports, and maintaining strike summaries, ensuring 100% accuracy in documentation.
 Graded over 30 weekly reports, created one-on-one session summaries and provided detailed feedback that contributed to improvement in tutor performance.
 Facilitated over 50 makeup sessions for missed meetings both remotely and in-person, to ensure 100% participation for required biweekly meetings.
 Organized and led biweekly meetings for ~40 tutors, providing feedback and maintaining high engagement levels.
 Assisted in recruitment by conducting interviews, contributing to over 25% growth in the tutoring team.
 Promoted tutoring services through advertising campaigns that increased student engagement.

 Built and deployed scalable pipelines supporting transcriptomic workflows to predict Alzheimer’s cases
 Awarded NIA supported A2 Pilot Grant as Principal Investigator to lead a project identifying regulators and druggable targets in Alzheimer’s disease.
 Led single cell (snRNA-seq), molecular docking and dynamic simulation to repurpose Alzheimer’s disease drugs
 Executed computational analyses on large biomedical datasets, adapting methodologies to deliver insights
 Managed NIH grant application, streamlining collaboration and budget processes to reduce admin overhead
 Awarded AIM-AHEAD Track 1 grant to study FHIR in healthcare settings
 Directed a team of 5 to develop a research strategy on multiomics NIH grant, achieving 100% on-time delivery
 Transformed complex genomic data into strategic insights, resulting in over 15 published first-author papers.
 Supervised and mentored over 30 graduates and 6 undergraduate students, saving 100+ staff hours per session
 Collaborated with cross-functional teams to refine roadmaps for research with evolving academic needs
 Obtained Level I-III Clinical Research Coordinator Training (FDA & ICH regulations, Drug development regulations) from Tulane Center for Clinical Research (TCCR)

 Automated software systems to manage accessioning for NGS workflow, reducing client downtime and streamlining work procedures while ensuring alignment with evolving market demands and customer expectations
 Headed enterprise software implementations for projects over $300K, delivering 100+ scientific deployments
 Supported bioinformatics pipelines deployed across AWS and on‑prem HPC environments, including storage, compute orchestration, and access controls
 Achieved an 8000% growth surge by optimizing content and developing customer success stories
 Orchestrated integration of bioinformatics pipelines for LIMS deployment in 4 labs and 3 diagnostics companies
 Standardized documentation procedures, slashed product turnaround by 50% and created 10+ performance reports
 Integrated agile methodologies and Scrum practices to refine product development processes for timely delivery

 Directed analytics on electronic health records data from 40,000 patients to identify disease outcomes for diabetes
 Conducted gene expression analysis (bulk RNA-seq) for cancer and aging studies, resulting in 2 publications
 Established 6+ national and international collaborations to survey HIT applications
 Leveraged research to shape technology plans and product strategy for health informatics tools
 Experience working with standards such as FHIR, SNOMED, HL7

 Executed preventive and corrective maintenance on IT systems, reducing downtime by over 50% through prompt resolution of technical issues
 Installed, configured, and maintained computers and databases for optimal performance, while identifying and resolving back-end technical support issues