School of Engineering
Showing 51-100 of 2,647 Results
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Mahdi Al-Husseini
Ph.D. Student in Aeronautics and Astronautics, admitted Summer 2025
BioActive-duty captain and HH-60M pilot in command in the US Army, licensed professional engineer, registered patent agent, and aeronautics PhD student at Stanford University (SISL). 30+ patents and patent applications. I research multiagent system models and algorithms to improve medical evacuation, search and rescue, and wildfire surveillance and suppression operations.
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Shray Alag
Masters Student in Computer Science, admitted Autumn 2022
BioClass of 2025, Computer Science/Computational Biology
Research Publications:
Alag S (2020) Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype Ontology. PLoS ONE 15(5): e0233438. https://doi.org/10.1371/journal.pone.0233438.
Alag S (2020) Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach. PLoS ONE 15(9): e0239694. https://doi.org/10.1371/journal.pone.0239694.
Alag, Shray. 2020, July 31. Extracting Unique Insights by Mining Single Nucleotide Polymorphisms from ClinicalTrials.gov and Applying the Human Phenotype Ontology [Presenter]. Society for Clinical Trials.
Proficient in Python, Java, Bash, Octave, Mathlab. -
Anas Alharbi
Masters Student in Civil and Environmental Engineering, admitted Autumn 2025
BioI’m a graduate international student in the Civil and Environmental Engineering (Atmosphere/Energy) program at Stanford University, with a background in Chemical Engineering. My interests sit at the intersection of sustainability, energy systems, and data-driven decision-making.
In my professional career, I have managed projects that required both technical depth and business judgment. My work often involves data analysis to evaluate projects from technical and financial perspectives and turn results into clear recommendations for decision-makers.
I also hold an MBA and I’m a CFA Charterholder. I’m especially interested in decarbonization strategy, environmental performance, and energy/climate finance.
Outside of class, I enjoy all kinds of physical activities, even though I’m still a beginner. -
Nancy Ammar
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioNancy Y. Ammar received her B.Sc. degree (with honors) in electronics and communication engineering from Ain Shams University, Cairo, Egypt, in 2019. In her senior year, she worked as an undergraduate Research Assistant in the Microwaves and Antenna Research Lab at Ain Shams University. She worked as an IC design consultant at Siemens EDA (Mentor Graphics previously).
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Leni Aniva
Ph.D. Student in Computer Science, admitted Autumn 2022
Current Research and Scholarly InterestsMy main research interest is Machine-Assisted Theorem Proving, which refers to using machine-learning agents to find proofs of mathematical theorems and conduct reasoning. We are pursuing a hybrid algorithm between neural networks and SMT solvers to solve some of the long standing problems facing machine learning models today such as opaqueness, hallucinations, and information leakage. I also do research on SMT solvers and automatic verifications of programs.
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Elijah Appelson
Masters Student in Management Science and Engineering, admitted Autumn 2025
BioElijah Appelson is an activist, mathematician, and computational social scientist. From 2023 to 2025, he served as the first data analyst/scientist at the ACLU of Louisiana, focusing on immigration, policing, and the broader criminal legal system. There, he conducted statistical analyses for legal cases, supported policy change, and developed educational tools, including "Visualizing Police Violence in Louisiana" and "Policing in Louisiana: By the Facts". He is skilled in web scraping, predictive modeling, and data storytelling, and uses these tools to create accountability. Prior to the ACLU, he held roles at the Center for Community Alternatives and the Vera Institute of Justice, intersecting technical expertise with a commitment to civil rights. His academic interests center on using machine learning to hold state violence accountable through education, policy, and law.
