Summary
Overview
Work History
Education
Skills
Awards
Publications
Websites
Reviewer For Journals
Leadership Experience
Timeline
Generic

Elham Nasarian

Blacksburg,VA

Summary

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

Reviewer For Journals

  • Information Fusion
  • Mayo Clinic Proceedings
  • ACM Transactions on Digital Health

Leadership Experience

  • Guest Lecturer, AI/ML Success Stories in Healthcare, Fall 2024
  • Graduate Honor System Panelist, Virginia Tech Graduate School
  • Graduate Panelist, Virginia Tech Grado Department of Industrial & System Engineering
  • Judge, 2023 Poster Competition at the Undergraduate Research Symposium, Virginia Tech Grado Department of Industrial & System Engineering

Timeline

AI Scientist Intern (Applied)

Walkky
01.2025 - 04.2025

Ph.D. Researcher (Responsible AI)

Virginia Tech
01.2022 - Current

Lead Research Scientist (Applied)

Abadan Clinic
01.2016 - 01.2021

Senior Research Data Scientist

Technical Training Institute
01.2012 - 01.2021

Ph.D. - Industrial & Systems Engineering

Virginia Tech

M.S. - Industrial Engineering

Islamic Azad University
Elham Nasarian