Dedicated and adaptable professional with a proactive attitude and the ability to learn quickly. Strong work ethic and effective communication skills. Eager to contribute to a dynamic team and support organizational goals.
Overview
14
14
years of professional experience
Work History
Ph.D. Researcher (Responsible AI)
Virginia Tech
Blacksburg, USA
01.2022 - Current
Company Overview: Virginia Tech, Blacksburg, VA
Developing a three-level interpretability ML system for Opioid-Induced Respiratory Depression (OIRD) risk prediction; monitoring model performance (Accuracy, F1, Precision, Recall) to ensure trustworthy, transparent, and ethical AI systems.
Leading cross-functional teams across medical experts, engineers, and researchers to build a user-friendly risk score tool with statistical analysis, machine learning, and medical expertise to translate complex AI risks into actionable and understandable insights in collaboration with Carilion Clinic.
Generating synthetic time-series data; using advanced Generative AI techniques like GANs; measuring similarity between synthetic and real data by signal processing methods and visualization tools to ensure clinical accuracy and signal quality.
Assessing the accuracy and reliability of medical LLMs to examine how well they avoid false or misleading answers after fine-tuning with human feedback (SFT/RLHF); using evaluation metrics like the False Confidence Test (FCT), Fake Question Test (FQT), and None-of-the-Above (NOTA) to detect and analyze model errors.
Teaching experience: Instructor for Industrial Cost Control (ISE3004), TA for Probability & Statistics, Statistical Quality Control, Discrete-Event Simulation, Facilities and Logistics, Discrete Event Simulation.
Virginia Tech, Blacksburg, VA
AI Scientist Intern (Applied)
Walkky
Boston, USA
01.2025 - 04.2025
Company Overview: Walkky, Boston, MA
Applied time-series data augmentation methods like β-VAE and GANs for synthetic ECG generation using large-scale, noisy signals.
Handled noise through filtering and normalization, and evaluated signal quality by measuring similarity between synthetic and real data using signal processing techniques.
Walkky, Boston, MA
Lead Research Scientist (Applied)
Abadan Clinic
Abadan, Khuzestan
01.2016 - 01.2021
Company Overview: R&D Department, Abadan Clinic, Abadan, Khuzestan
Collected and curated a novel heart disease dataset from electronic and physical medical records of angiography patients, integrating behavioral and occupational risk factors (e.g., irregular sleep, stress; 54 features total); published in the UCI Machine Learning Repository.
Led cross-functional teams of medical experts, researchers, and data scientists to develop predictive models for coronary artery disease (CAD) using deep learning (DNN, CNN) and classical ML techniques; applied models to real and synthetic data to address small and imbalanced datasets.
Achieved 95.4% accuracy through data augmentation; validated performance using sensitivity and specificity to ensure reliable and clinically meaningful predictions.
R&D Department, Abadan Clinic, Abadan, Khuzestan
Senior Research Data Scientist
Technical Training Institute
Abadan, Khuzestan
01.2012 - 01.2021
Company Overview: Technical Training Institute, Abadan, Khuzestan
Led data-driven analysis and A/B testing on large-scale employee surveys (n > 5,000) to identify root causes and biases of training dissatisfaction and optimize instructional strategies.
Directed 10+ cross-functional teams (engineers, IT specialists, instructors, managers) to design, launch, and maintain e-learning programs, successfully trained 1,000+ users across the organization.
Actively tracked and reduced training costs by 48% while expanding equitable access; delivered executive ready insights for strategic decisions and grant reporting.
Technical Training Institute, Abadan, Khuzestan
Education
Ph.D. - Industrial & Systems Engineering
Virginia Tech
Blacksburg, VA
10-2025
M.S. - Industrial Engineering
Islamic Azad University
Najafabad, Isfahan
09-2017
Skills
Responsible AI
Machine learning
Data analysis
Awards
Paul E. Torgersen Research Excellence Award, Virginia Tech, College of Engineering, 01/01/24
GPSS Graduate Research Symposium Award, Virginia Tech, Graduate School, 01/01/25
Publications
Enhancing Clinician-AI-Interaction for Monitoring Severe Health Outcome, Upcoming INFORMS annual meeting, 10/01/25
CAIM-OIRD Risk Tool: Enhancing Clinician-AI-Interaction for Monitoring Opioid-Induced Respiratory Depression, under revision
Designing interpretable ML system to enhance trust in healthcare, Information Fusion, 108, 2024, 102412
Responsible Clinician-AI-Collaboration Framework to build Trustworthiness AI in Health Systems, INFORMS annual meeting, 10/01/24
AI Framework for Early Diagnosis of Coronary Artery Disease, IISE 2023 Conference, 05/01/23
Association between work‑related features and coronary artery disease, Pattern Recognition Letters, 133, 2020, 33-40