Michelle Hayek
Houston,TX
Summary
Motivated PhD student with a passion for innovation and problem-solving. Skills include leadership, interdisciplinary collaboration, and a strong commitment to making a meaningful impact. Experienced in mentoring students, leading teams, and contributing to several successful projects, publications, and grants. Equipped with a solid foundation in research, leadership, and critical thinking, always eager to take on new challenges, learn quickly, and contribute to achieving greater success.
Overview
3
3
years of professional experience
Work History
Research Assistant
Texas A&M University
09.2021 - Current
- Collaborated with interdisciplinary teams to analyze large-scale healthcare datasets with more than 1 million patients including CMS Limited Data Set and data from remote monitoring service provider for Texas Medicaid patients to derive actionable insights for healthcare policy and practice
- Conducted data cleaning and preprocessing on large healthcare data sets
- Constructed statistical models and wrote methods and results for 5 abstracts, 5 posters, and 4 manuscripts
- Assisted in the implementation of machine learning algorithms (XG-boost, Logistic Regressions (LR), Random Forest (RF), and XGBoost (XGB)
- Assisted in the development of Convolutional Neural Network (CNN) models utilizing electronic health record data
- Designed and implemented simulation models (Markov and Monte-Carlo Simulations) mainly to assess economic impact and resource allocation in healthcare settings
- Conducted systematic reviews in health outcomes research, focusing on the cost-effectiveness of at-home self-monitoring interventions compared with in-office monitoring for hypertensive patients
- Mentored 4 graduate students, overseeing research work, and providing guidance
- Won 2 grants and funding proposals to support ongoing research initiatives
- Actively participated in team meetings and discussions, providing insights and recommendations to enhance research methodologies and outcomes
Teaching Assistant
Centers for Disease Control and Prevention (CDC)
07.2024 - Current
- Taught machine learning techniques, supervised and unsupervised learning, such as k-means clustering, logistic regression models, random forest, and decision trees, to analyze big data using cloud computing systems for more than 40 CDC employees.
Teaching Assistant
Texas A&M University
09.2021 - 05.2022
- Led Capstone Senior Design class for over 200 students in technical work and project management
- Developed, graded, and managed coursework, ensuring alignment with student learning outcomes
Education
Ph.D. - Industrial And Systems Engineering
Texas A&M University
College Station, TX12.2024
Master of Science - Industrial And Systems Engineering
Texas A&M University
College Station, TX05.2023
Bachelor of Science - Mechanical Engineering
Notre Dame University
Zouk Mosbeh, Lebanon07.2021
Skills
Statistical Skills:
- Generalized Linear Models (GLM), Logistic, Ordinal, and Poisson
- Random & Fixed Effects Models
- Difference in Differences (DID) and Interrupted Time Series Models (ITS)
- Sensitivity analysis
- ICD9/10 Codes and HCPCS Codes
- T-test, Wilcoxon Rank test, Chi-squared, and ANOVA
Other Skills:
- Strong leadership abilities
- Effective communication skills
- Experienced and skilled in research
- Proficient in writing
Major Awards and Achievements
- One of three recipients of the 2023 Student Seed Fund Award, supported by The Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) and NSF
- Second-place winner in the 2024 ISEN PhD Poster Competition at TAMU
- Featured in Texas A&M University's Engineering Newsletter (https://engineering.tamu.edu/news/2024/01/bridging-health-and-tech.html)
- Featured in Texas A&M University's Public Health Newsletter (https://today.tamu.edu/2024/03/26/monitoring-your-own-blood-pressure-can-save-money-and-possibly-your-life/)
Completed and Ongoing Publications:
- Hayek MA, Giannouchos T, Lawley M, Kum H. Economic Evaluation of Blood Pressure Monitoring Techniques in Patients With Hypertension: A Systematic Review. JAMA Netw Open. 2023;6(11):e2344372. doi:10.1001/jamanetworkopen.2023.44372
- Hayek MA, Catacora A, Ohsfeldt R, Lawley M, Kum H. Economic Impact of Ambulatory Blood Pressure Monitoring Compared with Clinical Blood Pressure Monitoring: A Simulation Model planned submission to Health Services Insight Journal
- Hayek MA, Park S, Bovin M, Ohsfeldt R, Lawley M, Kum H. Utilization of In-person and Telehealth Outpatient Mental Health Services Before and During The COVID-19 Pandemic planned submission to Jama Network Open
- Hayek MA, Park S, Bovin M, Ohsfeldt R, Lawley M, Kum H. Impact of COVID-19 and Telehealth on Medicare Expenditures for Beneficiaries planned submission to Jama Network Open
Extracurricular Activities
American Society of Mechanical Engineer (ASME) NDU Student Chapter, Vice President, 09/2017 - 07/2021
- Led the organization of the student ASME Engineering Festival (Efx) 2019, a major event aimed at guiding young engineers in understanding and improving their soft skills, effectively applying them in the engineering domain., Managed social media, coordinated events, and leadership camps.
INFORMS TAMU Student Chapter, Executive Director of Academic Affairs, 01/2022 - 05/2022
- Led a team to organize academic workshops and seminars featuring esteemed industry professionals and academics, bridging theoretical knowledge and practical application.
Precise Advanced Technologies and Health Systems for Underserved Populations, SLC Leader, 08/2022 - 12/2024
- Contributed to National Science Foundation (NSF) - funded research aimed at advancing health systems and technologies dedicated to underserved populations.
- Presented research findings as posters in conferences organized by PATHS-UP and NSF
- Mentored students from underserved backgrounds in academic pursuits and research projects.
- Organized workshops for aspiring scientists and engineers, aimed at professional and personal development.
Population Informatics Lab, Member, 09/2021 - Current
- Engaged in ongoing professional development activities, including workshops and seminars, to enhance skills in data analysis, data visualization, and programming languages such as SAS and R.
Past and Upcoming Conferences:
- Annual Meeting of the Independent Payment Advisory Board (IPAB) & Digital Health Workshop (DHW) by The Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) 2023 & 2024
- Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2024
- International Population Data Linkage Network (IPDLN) Conference - Adapting to a Changing World 2024
- American Medical Informatics Association (AMIA) Annual Symposium 2024
- Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting 2024
- Society for Epidemiologic Research (SER) 2024 Meeting
Languages
Arabic
Full Professional
French
Professional Working
German
Elementary
English
Full Professional
Software
SAS
R
Python
Timeline
Teaching Assistant
Centers for Disease Control and Prevention (CDC)
07.2024 - Current
Research Assistant
Texas A&M University
09.2021 - Current
Teaching Assistant
Texas A&M University
09.2021 - 05.2022
Ph.D. - Industrial And Systems Engineering
Texas A&M University
Master of Science - Industrial And Systems Engineering
Texas A&M University
Bachelor of Science - Mechanical Engineering
Notre Dame University
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