(Islam M)² Tayeb

Blog

Welcome!

Islam

Duke Student finding lazy automations. Love reading about cool infra stories and over-optimizing configs. Also interested in building for science. Currently based in Durham, NC.

I grew up between Egypt and Saudi Arabia. I also enjoy playing Tetris and Monkeytype in my free time. I've also been writing a bit, check out my blog.

In high school, I worked as a graphic designer for an esports team. Around the same time, I was playing osu! competitively and designed a few skins (500K+ downloads).

Feel free to reach out at islam.moh.islamm@gmail.com!

Experience

ML Research Assistant, Duke UniversityAug 2025 – Present

Enzyme protocol mining tools using PyTorch and services in FastAPI

Software Engineer Intern, Soff (YC S24)May 2025 – Oct 2025

Sales intelligence for manufacturers using Next.js and tRPC as employee #2

ML Engineer Intern, Life EditSep 2024 – May 2025

Non-linear RNA-seq analysis and dashboard for CRISPR experiments using Python

Projects

Harmonia
New
Harmonia

ML pipeline measuring chaotic audio and lyrics into 33 isolated, interpretable dimensions

Python
OpenAI
Plotly

Helium Browser Raycast Extension
Helium Browser Raycast Extension

Raycast extension for jumping through Helium tabs, bookmarks, history, and web searches from the keyboard

TypeScript
Raycast API
AppleScript
SQLite

GitHub README Generator
GitHub README Generator

Web app using LLMs to generate GitHub README files through codebase analysis with a sliding window technique

Next.js
Node.js
PostgreSQL

See more on GitHub...

Systems Projects

NETWORKING

Evaluating Mosh's State Assumptions

Report GitHub

Tested whether Mosh's use of "assumed" vs "known" server states holds under high packet loss. Built a Python SSP implementation with λ-parameterized reference selection and a Docker/ tc/netem testbed to measure Age-of-Information.

OPERATING SYS

xv6 Network Stack

Report GitHub

UDP networking for xv6 in C: E1000 NIC driver with DMA descriptor rings and per-port packet queues. Python testbed for throughput/latency benchmarking under burst and sustained loads.

See more on GitHub...

Selected Publications

Sep 2025

Machine learning for predicting and optimizing the CO₂ uptake in porous organic polymers

Full-text – Journal of Environmental Chemical Engineering – Research Article

Hamid Zentou, Ali Tayeb, Islam Tayeb, Mahmoud Abdelnaby

Python Traditional ML Carbon Capture

May 2025

Primal Dual Continual Learning for Robust Antibody Design

Full-text – Pre-print

Islam Tayeb, Navid NaderiAlizadeh

PyTorch Protein Design Continual Learning

Jan 2024

Post-synthetic Modification of UiO-66 Analogue Metal-Organic Framework as Potential Solid Sorbent for Direct Air Capture

Full-text – Journal of CO2 Utilization – Research Article

Mahmoud Abdelnaby, Islam Tayeb, Ahmed Alloush, Hussain Alyosef, Aljazi Alnoaimi, Mostafa Zeama, Mohammed Mohammed, Sagheer Onaizi

Wet Lab Polymer Synthesis Carbon Capture

See more on Scholar...

Blog

Jun 2026

Courses

Coursework

SystemsTheoryBiochemistry

Compiler ConstructionUnlocks Spring '26

Operating Systems

Network Architecture

Computer Architecture

Deep LearningUnlocks Spring '26

Probability

Linear Algebra

Discrete MathUnlocks Spring '26

Data Structures & Algorithms

Biochemistry I

Organic Chemistry I & II

General Chemistry I & II

Molecular Biology

Teaching

Computer Systems, Prof. LentzUnlocks Spring '26

Organic Chemistry II, SAGE

Click a course to see details
P.S. All courses taken @ Duke University

Contact

for more hefty requests

Blog

for more technical + personal musings

GitHub

for code and repos

for shower thoughts

for a professional summary

Scholar

for my publications