Resume
Education
Doctor of Philosophy, Electrical & Computer Engineering (Machine Learning)
Georgia Institute of Technology, Atlanta, GA | Expected May 2028 | GPA: 4.0/4.0
- Advised by Dr. Ali Adibi (ECE)
Master of Science, Computational Science & Engineering
Georgia Institute of Technology, Atlanta, GA | Expected May 2026 | GPA: 4.0/4.0
Master of Science, Industrial & Systems Engineering (Quantitative & Computational Finance)
Georgia Institute of Technology, Atlanta, GA | Dec 2023 | GPA: 3.95/4.0
- Coursework included statistical modeling, computational statistics, option pricing, Monte Carlo simulation, portfolio optimization, machine learning, and derivatives trading
Bachelor of Science, Industrial & Systems Engineering (Analytics & Data Science)
Georgia Institute of Technology, Atlanta, GA | May 2022 | GPA: 3.95/4.0
Bachelor of Arts, Natural Sciences (Physics, Pre-Engineering)
Covenant College, Lookout Mountain, GA | May 2021 | GPA: 3.85/4.0
Awards & Honors
- President's Fellow, Georgia Tech, top 10% of PhD applicant pool
- VIP Outstanding Mentor Award, Georgia Tech
- Highest Honors, Georgia Tech
- Hope Scholarship, Georgia Tech
- Magna Cum Laude, Covenant College
- Maclellan Scholarship, full-tuition leadership and merit scholarship
- Georgia Tech Industrial and Systems Engineering Annual Board Meeting Fellow, selected 5 out of 100+
Publications & Working Papers
- Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
Journal of Imaging Informatics in Medicine, 2025 - Observer Performance and Eye-Tracking Variations as a Function of AI Output Format
SPIE Medical Imaging, 2025 - Explainable Machine Learning for Risk Stratification of Major Adverse Cardiac Events Using Clinical and Imaging Data
Circulation, 2025 Abstract - Predicting 10-year Major Adverse Cardiac Events Using Multi-Source Modalities with XGBoost: Establishing a Baseline for Multimodal Fusion in Cardiac Risk Assessment
medRxiv, 2025, under review - CARDINAL: Clinically Grounded Representation Learning from CT for Long-Term Cardiovascular Risk Prediction
In preparation - Multimodal Fusion for Cardiovascular Risk Prediction Using Imaging and Clinical Data
In preparation - GazeRIB-CXR: Gaze-guided Radiologist-Informed Blackout AI for Chest X-ray Analysis
In preparation
Research
Medical Imaging AI
PhD Research, Georgia Institute of Technology
- Developed CARDINAL, a representation learning framework for clinically grounded features from non-contrast CT scans
- Led multimodal AI framework for long-horizon cardiac risk prediction, AUROC up to 0.88, ~30% improvement over baselines
- Proposed probability-level multimodal fusion improving AUROC, AUPRC, and F1 on rare disease outcomes
- Built large-scale XGBoost pipeline for 10-year cardiac event prediction across 27,000+ patients
- Developed cross-modal chest X-ray to coronary artery calcium prediction up to 80% AUROC
- Conducting research in women's health and fairness in medical AI
- Collaborated with leading Emory clinicians to support clinical validity and translation
Integrated AI-Based Discovery and Innovation
Head of Quantitative Research
- Pioneered LSTM and Deep Q-Learning ensemble portfolio optimization
- Outperformed equal-weighted portfolios by 200%, SPX by 100%, and QQQ by 50%
- Advanced reinforcement learning methods for institutional portfolio rebalancing
- Developed implied volatility models and LLM-based financial decision systems
Experience
Founder and Business Owner
Makademy LLC, Chattanooga, TN | May 2021 – Jan 2026
- Created written, audio, and video educational content for institutions
- Developed and delivered a machine learning in finance course for IvyLine Capital, reaching 90+ universities and 10 countries
- Built an automated derivatives trading algorithm
- Maintained a 95% average business profit margin
Quantitative Researcher Intern
Dimensional Fund Advisors, Charlotte, NC | Jun 2023 – Aug 2023
- Automated ETF basket construction analysis using Python and SQL
- Reduced storage requirements by 85% on a 1.5 TB dataset
- Delivered strategic recommendations for ETF basket management
FX Market Making & Trading Intern
The Bank of New York Mellon, New York, NY | Jun 2022 – Aug 2022
- Priced FX spot, swaps, and options with paper-trading PnL of $143K in 8 weeks
- Backtested volatility strategies in Python and Excel
- Developed a Bloomberg API trading book for future interns
Tech Consultant Intern
PwC, Atlanta, GA | Jun 2021 – Aug 2021
- Reduced code lines by 99% while extracting inefficient financial activity for a FED bank
- Built a dynamic relational database during a Salesforce transition
- Documented operations and debugged 130+ QA testing processes
Projects
Urban Autonomous Taxi Simulation
- SimPy simulation with NYC Taxi and OpenStreetMap data
- GCNN-DDGF demand forecasting with 49.6 RMSE
- 5% increase in trip fulfillment and 38% fewer failures
Pneumonia Classification Project
- Hybrid Bayesian-CNN with F1 up to 73.3%
- LoRA adaptation reducing trainable parameters by over 90%
NASA JPL MOID Regression Analysis
- Stepwise and Lasso regression with adjusted R² of 0.366
- Model diagnostics, preprocessing, and validation in R
Leadership
Makademy and VIP Personal Mentorship
Student Career Mentor
- Mentored over 40 graduate, undergraduate, and high school students
- Hosted resume workshops, mock technical interviews, and application strategy sessions
- Supported placements into MIT, Harvard, Georgia Tech, Millennium, DRW, and Chicago Trading Company
IvyLine Capital Group
Investments & Derivatives Mentor
- Taught portfolio optimization and derivatives applications using Python
- Selected from 600+ students across 80+ top U.S. universities
- Engaged students and professionals through weekly lectures and challenges
Skills
- Python, R, SQL, MATLAB, C/C++
- LaTeX, Linux, VBA, SAS
- PyTorch, TensorFlow, Keras, Jupyter
- Tableau, Bloomberg, Gurobi, Microsoft SQL Server, Jira
- Multimodal Fusion, Representation Learning, Active Learning
- Bayesian Probability and Statistics, Time Series Analysis, Hypothesis Testing
- Convex Optimization, Linear Programming, Mixed Integer Programming
- Image Processing, NLP, LLMs, Human-Machine Interaction
- Technical Writing, Public Speaking, Conflict Resolution
- English (fluent), Arabic (native)