Dennis Baidoo

Curriculum vitae

Dennis Baidoo, M.S., GStat

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Professional Summary

Early-career statistician with over four years of experience in data analysis, statistical modeling, and public health research. Skilled in applying advanced statistical techniques to address complex health challenges, with a proven track record of analytical reasoning, adaptability, and effective collaboration across teams. Seeking to leverage leadership, strategic planning, and analytical expertise to advance data-driven solutions in public health and related fields.

Education

August 2026 – May 2031

The Ohio State University, College of Public Health, Division of Biostatistics

Interdisciplinary Ph.D. in Biostatistics · Columbus, OH

  • University Fellow - Awarded the competitive University Fellowship for doctoral study in Biostatistics.
January 2023 – May 2025

University of New Mexico

M.S. in Statistics · Albuquerque, NM

  • Research: Multi-Dimensional and Subtype-Specific Variation in Angiogenesis and Its Association with Survival in Breast Cancer.
  • Golden Key International Honor Society - Top 15% of the graduating class.
Aug 2017 – Nov 2021

University of Ghana

B.Sc. in Statistics and Mathematics (Double Major) · Accra, Ghana

  • First Class Honors
  • Research: Violation of homoskedasticity assumption and comparison of remedy methods for heteroskedasticity in multiple linear regression models.
  • Dean’s Honor List - Top 5% of the graduating class.

Professional Experience

June 2026 – July 2026

The Office of Assessment & Academic Program Review, University of New Mexico

Project Assistant, Supervisor: Dr. Julie Sanchez · Albuquerque, NM

  • Evaluated 130+ STEM student artifacts using statewide rubrics, achieving high scoring consistency and improving Quantitative Reasoning assessment outcomes.
  • Collaborated with faculty teams during institutional review cycles to calibrate rubrics, strengthen inter-rater reliability, and standardize student evaluation.
  • Validated and managed 500+ assessment records in the university database, ensuring accurate reporting for accreditation and program evaluation.
  • Analyzed assessment trends across STEM courses, providing data-driven insights to support curriculum improvement and student success initiatives.
August 2025 – Current

Algoverse AI Research Program, Algoverse

AI Research Fellow, Advisor: Mr. Kevin Zhu · Albuquerque, NM

  • Collaborated with AI researchers from institutions including Meta, Stanford, OpenAI, Berkeley, and Cornell to develop socially responsible applications of LLMs and AI models.
  • Participated in lectures on algorithmic fairness, bias in medical AI systems, and ethical deployment of large language models in public health contexts.
  • Designed and implemented a research project aligned with public health or health equity, applying AI methods to low-resource settings, bias detection, or medical data.
  • Developed skills in reproducible research, literature review, coding, and presenting findings in alignment with best practices in responsible AI.
  • Earned a merit-based tuition scholarship and support toward potential publication in venues such as the Conference on Neural Information Processing Systems (NeurIPS) or Empirical Methods in Natural Language Processing (EMNLP).
May 2024 – July 2026

College of Population Health, University of New Mexico

Graduate Researcher, Advisor: Dr. Stephanie McIver · Albuquerque, NM

  • Leading mortality burden analysis for student suicide in New Mexico State, using quantitative methods to drive health policy adjustments.
  • Designed predictive machine learning (92% accuracy) and time series models for NIH-funded research study identifying student suicide risk factors, directly informing the university’s mental health outreach programs.
  • Identified and ranked critical suicide risk factors (e.g., academic pressure, social isolation), enabling data-driven prevention strategies that reduced high-risk cases.
  • Co-designed suicide prevention talks with campus health teams, embedding mental health modules in statistics courses, and post-intervention surveys showed more than a 30% increase in student help-seeking behavior.
  • Submitted findings to a peer-reviewed public health journal, currently under review, to expand the evidence base for university-level suicide prevention initiatives nationwide.
May 2024 – June 2025

Office of the Vice President for Research, University of New Mexico

Zancada Graduate Fellow, Advisor: Prof. Melissa Emery Thompson · Albuquerque, NM

  • Entrusted with promoting interdisciplinary research, ethical scholarship, and community engagement to address complex global challenges.
  • Participated in bi-weekly professional development workshops focused on leadership, policy engagement, and research communication.
  • Collaborated with fellows across diverse disciplines to design actionable research strategies and promote civic impact.
  • Strengthened skills in research leadership, academic networking, and translational communication.
August 2023 – June 2024

Center for Teaching and Learning, University of New Mexico

Graduate Teaching Scholar, Advisor: Dr. Jennifer Pollard · Albuquerque, NM

  • Designed and implemented a Scholarship of Teaching and Learning (SoTL) based classroom intervention; prepared final reflection and presentation for campus-wide showcase.
  • Committed to 10+ hours monthly for seminars, consultations, peer observations, and project work on the Scholarship of Teaching and Learning (SoTL).
  • Participated in monthly workshops focused on applying evidence-based teaching strategies across disciplines.
  • Analyzed mixed-methods data and produced actionable recommendations adopted to enhance TA training and cross-cultural teaching support across U.S. universities.
  • Completed peer consultations and teaching observations aimed at improving classroom practices.
June 2024 – January 2025

Department of Anesthesiology, University of New Mexico

Graduate Research Assistant, Advisor: Dr. Reza Ehsanian · Albuquerque, NM

  • Supported data collection and analysis for a multi-site study on genicular nerve radiofrequency ablation (RFA) practice patterns, contributing to insights that optimized clinical protocols for 500+ annual procedures.
  • Streamlined research collaboration by developing and maintaining centralized project documentation systems, ensuring 100% compliance with institutional protocols and improving team efficiency by 25%.
  • Authored strategic briefs synthesizing research outcomes, influencing 3 departmental policy changes in 2024.
  • Presented study findings to multidisciplinary clinical teams, fostering cross-specialty dialogue and driving adoption of evidence-based practice changes.
June 2023 – December 2025

African American Student Services, University of New Mexico

Research and Project Assistant, Advisor: Dr. Brandi Stone · Albuquerque, NM

  • Led a high-impact mathematics and statistics pilot program, leveraging data-driven analysis to optimize quantitative assessments, resulting in a 45% increase in student success rates.
  • Trained 15+ students in R for qualitative research, boosting reproducibility and enabling 3 conference presentations.
  • Boosted research grant success rate from 40% to 80%, while maintaining exceptional program pass rates, driving sustainable funding and impact.
  • Developed and implemented targeted mentorship strategies, improving retention rates for underrepresented students by 30%.
May 2018 – Jul 2019

Compassion International Ghana

Intern - Data Analyst, Advisor: Mr. Patrick Attah-Darkoh · Accra, Ghana

  • Transformed malaria program outcomes through data-driven insights, optimizing interventions that reduced cases by 37% in target regions.
  • Partnered with Compassion International Ghana to optimize resource allocation for malaria-affected children, reducing health disparities in underserved communities by 25%.
  • Designed and implemented dashboards for real-time tracking of key health indicators, enhancing decision-making and stakeholder reporting efficiency.
  • Conducted spatial analysis of malaria incidence to identify high-risk clusters, guiding targeted intervention strategies and improving program impact.

Papers

Peer-reviewed Articles

  1. Baidoo, D. (2026). Multi-dimensional structure and subtype-specific heterogeneity of angiogenesis in breast cancer. PLOS One, 21(10), e0348390 doi.org/10.1371/journal.pone.0348390

Preprints

  1. Amevor, R., Kubuafor, E., Baidoo, D. (2026). Adaptive Weighting for Time-to-Event Continual Reassessment Method: Improving Safety in Phase I Dose-Finding Through Data-Driven Delay Distribution Estimation. arXiv:2602.19012
  2. Amevor, R., Baidoo, D., Kubuafor, E. (2026). Time-Varying Hazard Patterns and Co-Mutation Profiles of KRAS G12C and G12D in Real-World NSCLC. arXiv:2602.19295
  3. Kubuafor, E., Baidoo, D., Amevor, R., et al (2025). Latent spatial heterogeneity in U.S. cancer mortality: A multi-site clustering and spatial autocorrelation analysis. Submitted to MedLIFE 2025 Proceedings (Springer Nature ASTI Book Series). arXiv:2508.12188
  4. Baidoo, D., Amevor, R., Kubuafor, E., et al (2025). Bayesian Hierarchical Methods for Surveillance of Cervical Dystonia Treatments. Submitted to MedLIFE 2025 Proceedings (Springer Nature ASTI Book Series). arXiv:2508.15762
  5. Kubuafor, E., Baidoo, D., Amevor, R., et al (2024). Evaluation of Time Series Forecasting Models for Predicting Lung Cancer Mortality Rates in the United States: A Comparison with Altuhaifa's (2023) Study. Submitted to MedLIFE 2024 Proceedings (Springer Nature ASTI Book Series). arXiv:2508.16052
  6. Amevor, R., Baidoo, D., Kubuafor, E., et al (2025). Integrative Prognostic Modeling of Breast Cancer Survival with Gene Expression and Clinical Data. arXiv:2508.16740
  7. Baidoo, D., Aboagye, F., Okeke, O. J., et al (2025). Comparing Malaria Trends in the Comoros Islands: ARIMA Modeling and Retrospective Analysis. arXiv:2508.16018

Collaborative Work

  1. Okeke, O. J., Nelson, U. E., Nwaogu, C., Oladoyin, O. O., Kubuafor, E., Baidoo, D., Akinyemi, T., Ajeyomi, A. S., Idris, R. A., Fabunmi, I. A. (2025). Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM. arXiv:2510.11048
  2. Okeke, O. J., Baidoo, D., Frimpong, J.A., et al (2023). Modelling Land Suitability for Optimal Rice Cultivation in Ebonyi State, Nigeria: A Comparative Study of Empirical Bayesian Kriging and Inverse Distance Weighted Geostatistical Models. ResearchGate

In Progress

  1. Baidoo, D. & McIver, S. (2025). From Data to Policy: Quantitative Insights on the Mortality Burden of Student Suicide in New Mexico.
  2. Baidoo, D., Okeke, O. J., Amevor, R., et al (2024). Elucidating Community-Level Determinants of Adolescent Obesity in New Mexico: An Artificial Intelligence Approach Using Bayesian Belief Networks. Submitted to EMCEI 2024 Proceedings (Springer Nature ASTI Book Series).

Presentations

Contributed Talks

  1. Baidoo, D. (2026, April). Beyond the Formula: Transitioning Students from Passive Repetition to Active Quantitative Reasoning. Contributed talk presented at the University of New Mexico Spring Teaching Conference.
  2. Baidoo, D. (2024, May). Crossing Academic Borders: Navigating Teaching in the U.S. as an International Student. Contributed talk presented at the Center for Teaching and Learning, University of New Mexico, Albuquerque, New Mexico.

Poster Presentations

  1. Baidoo, D. (2026, October). Multi-dimensional structure and subtype-specific heterogeneity of angiogenesis in breast cancer. Poster presented at the Statistics and Biostatistics Graduate Student Poster Session, The Ohio State University.
  2. Baidoo, D. (2025, October). Bayesian Hierarchical Methods for Surveillance of Cervical Dystonia Treatments. Paper accepted for presentation at the International Forum on Research Excellence, Sigma Xi.
  3. Baidoo, D., (2025, August). Bayesian Hierarchical Methods for Surveillance of Cervical Dystonia Treatments. Paper accepted for presentation at the Statistics in Pharmaceuticals (SIP), University of Connecticut.
  4. Baidoo, D., & Okeke, O. J. (2024, February). Leveraging Bayesian Belief Networks to Uncover Place-Based Influences on Adolescent Obesity in New Mexico. Paper accepted for presentation at the American Statistical Association Conference on Statistical Practice, New Orleans, Louisiana.
  5. Baidoo, D., & Okeke, O. J. (2023, September). Leveraging Bayesian Belief Networks to Uncover Place-Based Influences on Adolescent Obesity in New Mexico. The paper was accepted for presentation at the Prof. Michael Woodroofe Memorial Conference, Ann Arbor, Department of Statistics, University of Michigan.

Teaching Experience

Jan 2023 – May 2026

Department of Mathematics and Statistics, University of New Mexico

Course Instructor · Albuquerque, NM

  • Designed and delivered 400+ engaging lectures for MATH1350 (Introductory Statistics), reaching 500+ undergraduates across 8 semesters - Spring 2023, Fall 2023, Spring 2024, Summer 2024, Spring 2025, Summer 2025, Fall 2025, and Spring 2026.
  • Designed and taught the first-ever offering of the new MATH 1300 (Statistical Literacy) course from scratch to non-quantitative majors.
  • Cultivated a welcoming classroom atmosphere that encouraged questions and collaborative learning.
  • Guided 20+ final-year students in applying descriptive and inferential statistics to psychology research projects.
  • Reduced departmental dropout rates by 66% through proactive student support interventions.
Oct 2021 – Nov 2022

Department of Statistics and Actuarial Science, University of Ghana

Teaching Assistant, Instructor: Dr. Godwin Debrah · Accra, Ghana

  • Led rigorous yet accessible instruction in STAT 222 (Regression Analysis - linear, logistic, nonlinear) and time series analysis for mixed audiences of quantitative and non-quantitative majors.
  • Provided 10+ hours weekly of one-on-one statistical guidance, helping 86% of students successfully implement regression analysis in their capstone projects.
  • Maintained a high passing rate with more than 90% getting an A with no students failing the course.
  • Integrated real-world datasets and applied case studies into lectures, increasing student engagement and practical problem-solving skills.
Jul 2019 – Aug 2019

Mozano Senior High School

Course Instructor · Gomoa Eshiem, Ghana

  • Tutored core and elective mathematics at my alma mater, supporting students in mastering fundamental and advanced concepts.
  • Mentored underrepresented student groups on advancing their studies in mathematical sciences at the university.
  • Mentored 50+ minority students in statistical methods, with 20% pursuing bachelor’s degrees in statistics/economics at top universities.
  • Organized peer-led study groups and academic workshops, fostering collaborative learning and improving overall student performance in quantitative courses.

Academic Service, Leadership & Volunteering

  • 2026Exhibitor & Professional Engagement Representative, American Statistical Association Biopharmaceutical Section, Joint Statistical Meetings (JSM)
  • 2026Continuing Education Program Monitor, Joint Statistical Meetings (JSM)
  • 2026Promotion Committee Member, Statistics in Pharmaceuticals (SIP), University of Connecticut
  • 2025Reviewer, Journal of Open Source Education (JOSE)
  • 2025Reviewer, Biostats4You: University of Minnesota
  • 2025Reviewer, Undergraduate Statistics Project Competition: The Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) and the American Statistical Association
  • 2023 – 24Reviewer, Ronald E. McNair Scholars Research Competition Conference
  • 2023 – 24Research Proposal Reviewer, Graduate and Professional Student Association: University of New Mexico
  • 2023Registration Assistant, Biopharmaceutical Section Regulatory-Industry Statistics Workshop: American Statistical Association
  • 2023Peer Mentor, Compassion International Ghana
  • 2023Mentor, African American Student Services: University of New Mexico
  • 2023Peer Mentor, Project for New Mexico Graduates of Color: University of New Mexico
  • 2023Student Advisor, Global Education Office: University of New Mexico
  • 2023Organizer, Pentecostal Students and Associates: University of New Mexico
  • 2020Pandemic Educator, Department of Psychology: University of Ghana

Awards & Honors

  • 20263rd Place Winner, Best Contributed Poster Award - Biopharmaceutical Section, JSM
  • 2026Norman Beery Memorial Scholarship, American Statistical Association
  • 2026University Fellowship, The Ohio State University
  • 2026NISS Writing Workshop for Junior Researchers Travel Award, National Institute of Statistical Sciences
  • 2026JSM Student and Early-Career Travel Award, American Statistical Association
  • 2026Teaching Statistical Thinking with GAISE Workshop Travel Award, NSF-Funded EAPOST Program
  • 2026Professional Development Grant, University of New Mexico
  • 2026Student Research Grant, University of New Mexico
  • 2025Lester R. Curtin Award, American Statistical Association
  • 2025Statistics in Pharmaceuticals (SIP) Scholarship Award, University of Connecticut
  • 2025JSM Student and Early-Career Travel Award, American Statistical Association
  • 2025SDSS Student and Early-Career Travel Award, American Statistical Association
  • 2025Excellence in Teaching Award, University of New Mexico
  • 2025The South Central Topology Conference IV Travel Award, Texas A&M University
  • 2025Professional Development Grant, University of New Mexico
  • 2025Project for New Mexico Graduates of Color Scholarship, University of New Mexico
  • 2024Biopharmaceutical Section Student Scholarship Award, American Statistical Association
  • 2024Diversity Mentoring Program Award, Joint Statistical Meetings
  • 2024Office of the Vice President for Research Zancada Graduate Fellowship, University of New Mexico
  • 2024Acxiom Diversity Scholarship Award, Acxiom
  • 2024Graduate Scholarship Fund Grant, University of New Mexico
  • 2024Graduate Community Mentoring Scholarship, University of New Mexico
  • 2023Professional Development Grant, University of New Mexico
  • 2023Project for New Mexico Graduates of Color Scholarship, University of New Mexico
  • 2023Scholarship of Teaching & Learning Award, University of New Mexico
  • 2023The South Central Topology Conference III Travel Award, New Mexico State University
  • 2023Prof. Michael Woodroofe Memorial Conference Travel Award, University of Michigan
  • 2023Student Research Grant, University of New Mexico
  • 2012Overall Best Student in HIV/AIDS Prevention Competition, Gomoa West Education District

Non-Degree Education & Certificates

  • 2026Quick-Thinking, Confident, Communicative, and Collaborative: Fundamentals of Applied Improvisation for (Bio)statisticians and Data Scientists
  • 2025University of Connecticut: AI for Clinical Trials and Humanized AI for Future Healthcare
  • 2025Joint Statistical Meetings: Cultivating a Career as a Statistical Collaborator and Medical Researcher in the Pharmaceutical Industry
  • 2025Joint Statistical Meetings: Statistical Issues with Large Language Models
  • 2025Joint Statistical Meetings: Bayesian Precision Medicine
  • 2025Joint Statistical Meetings: Bayesian Time Series Analysis and Forecasting
  • 2024American Statistical Association: Graduate Statistician accreditation (GStat)
  • 2023Ronald E. McNair Scholars Research Competition Conference: Outstanding commitment to nurturing undergraduate student growth in research

Highlighted Skills

Soft Skills: Effective Communication, Team Management, Problem-Solving and Critical Thinking, Interpersonal Skills, and Relationship-Building

Technical Skills: Proficiency in data analysis tools (R, SAS, Python, OpenBUGS), LaTeX, GitHub, Microsoft 365, Prompt expert with LLMs, Covidence

Professional Member Association

  • American Statistical Association
  • Sigma Xi
  • Institute of Mathematical Statistics
  • American Mathematical Society
  • Golden Key International Honour Society
  • Eastern North American Region of the International Biometric Society