Education
- University: Stanford University
- College: NA
- Degree: Doctor of Philosophy (PhD)
- Major: Mathematics
- Minors: Data Science
- Campus Mode:On Campus
- Start Date: 01 April 2025
- University: Stanford University
- College: NA
- Degree: Master of Science (MS)
- Major: Mathematics
- Minors: Data Science
- Campus Mode:On Campus
- Start Date: 01 September 2023
Work Experience
Graduate Researcher
Rivas Lab, Biomedical Data Science, Stanford 01 April 2025 To Present• Led an independent research program applying time-series and time-frequency (wavelet) methods to noisy, high-frequency biosignals
• Extracted predictive features from 47K+ 12-lead ECG records (UK Biobank) on Slurm HPC
• Built high-dimensional regression pipelines with group-lasso and elastic-net selection across correlated channels
• Identified 67 significant loci and 101 fine-mapped signals with rigorous controls for confounding and multiple testing
• Diagnosed and corrected a boundary-artifact bug causing signal inflation; first-author paper accepted at RECOMB 2026 with DOI doi.org/10.64898/2026.05.20.26353725
Skills:
- Arabic (native)
- C/C++
- Collaboration
- CVXPY
- English (TOEFL 107)
- Git
- Independent Study
- Julia
- Languages: French (C1)
- Linux
- Matlab
- MOSEK
- Pandas
- PyTorch
- R
- Russian (B1)
- Scikit-learn
- Slurm HPC
- Soft Skills: Research
- Teaching Assistance
- Technical: Python (NumPy
Research Assistant
Psaap Center, Stanford NA• Built a label-efficient 3D pattern-recognition model achieving AUC 0.999 using less than 0.5% of pixels
• Outperformed 2D and 3D U-Net baselines
• Paper under review at TPAMI
Skills:
- Arabic (native)
- C/C++
- Collaboration
- CVXPY
- English (TOEFL 107)
- Git
- Independent Study
- Julia
- Languages: French (C1)
- Linux
- Matlab
- MOSEK
- Pandas
- PyTorch
- R
- Russian (B1)
- Scikit-learn
- Slurm HPC
- Soft Skills: Research
- Teaching Assistance
- Technical: Python (NumPy
Machine Learning Engineer Intern
Cadence Design Systems NA• Built a database-backed operator-coverage pipeline with relational schema and stagewise statistics
• Automated compiler validation reducing manual checks by over 80%
Skills:
- Arabic (native)
- C/C++
- Collaboration
- CVXPY
- English (TOEFL 107)
- Git
- Independent Study
- Julia
- Languages: French (C1)
- Linux
- Matlab
- MOSEK
- Pandas
- PyTorch
- R
- Russian (B1)
- Scikit-learn
- Slurm HPC
- Soft Skills: Research
- Teaching Assistance
- Technical: Python (NumPy
Nlp / Llm Research Contributor
Microsoft × Stanford Icme Collaboration NA• Contributed Tree-of-Attacks-with-Pruning and GCG adversarial-attack implementations to Microsoft’s PyRIT open-source red-teaming framework
• Credited in the PyRIT paper (arXiv:2410.02828)
• Evaluated TAP on GPT-4 and Llama-3-8B, achieving up to 98% attack success
Skills:
- Arabic (native)
- C/C++
- Collaboration
- CVXPY
- English (TOEFL 107)
- Git
- Independent Study
- Julia
- Languages: French (C1)
- Linux
- Matlab
- MOSEK
- Pandas
- PyTorch
- R
- Russian (B1)
- Scikit-learn
- Slurm HPC
- Soft Skills: Research
- Teaching Assistance
- Technical: Python (NumPy
Teaching Assistant
Stanford University NA• TA for courses ME 300A: Linear Algebra (~100 students) and ME 123: Computational Engineering
Skills:
- Arabic (native)
- C/C++
- Collaboration
- CVXPY
- English (TOEFL 107)
- Git
- Independent Study
- Julia
- Languages: French (C1)
- Linux
- Matlab
- MOSEK
- Pandas
- PyTorch
- R
- Russian (B1)
- Scikit-learn
- Slurm HPC
- Soft Skills: Research
- Teaching Assistance
- Technical: Python (NumPy
Equal Employment Opportunity
- LGBTQ: NA
- Ethnicity: NA
- Disability: NA
- Veteran: NA
- First-generation College Student: NA
- Pell Grant Eligibility: NA
- Work Authorization: yes
- Visa Sponsorship: yes
Certification & Awards
Advised by Prof. Manuel Rivas; Coursework: Applied Statistics, Causal Inference, Optimization, Machine Learning for Algorithmic Trading
NANA
Coursework: Probability, Statistics, Convex Optimization, Machine Learning / Deep Learning, Natural Language Processing
NANA
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