Asem Alaa

is about to graduate. 🎓

Bis 2024, Graduate TA, Imperial College London
Bis 2025, AI and Machine Learning, Imperial College London
London, Vereinigtes Königreich

Fähigkeiten und Kenntnisse

Scala
SQL
AI
Machine Learning
Neural ODEs
Dynamical Systems
Python
C++
Process Mining
OpenCL
CUDA
Electronic Health Records
OpenMP
Signal Processing
Data Science
Software Development
C
Qt
MatLab
JAX
Communication skills
Team work
Consulting
Teaching

Werdegang

Berufserfahrung von Asem Alaa

  • 2 Jahre und 4 Monate, Jan. 2022 - Apr. 2024

    Graduate TA

    Imperial College London

    Worked as GTA for Methods for Data Science course, delivered to large cohorts of 150-200 students. Supplemented the teaching materials with pedagogical ML Python notebooks. Provided feedback sections analysing the performance of students in exams focusing on common mistakes and presenting best practices.

  • 9 Monate, Feb. 2020 - Okt. 2020

    Computer Vision Research Director

    Atomica AI

    Directed a team of 4-6 CV engineers. Supervised two interns. Directed Research Agenda. Led the recruitment. Topics: Computer Vision, Computational Geometry, Accelerated Linear Algebra. Tools: C, C++, TensorFlow, Qt.

  • 3 Jahre und 8 Monate, Jan. 2017 - Aug. 2020

    Assistant Lecturer

    Cairo University

    Delivered & created extended online section materials for Data Structures and Algorithms, Computer Vision, Biostatistics, Biological Signals Processing. Some materials developed for online access: https://sbme-tutorials.github.io/2020/data-structures https://sbme-tutorials.github.io/2020/cv https://sbme-tutorials.github.io/2019/biostatistics/biostatistics.html https://sbme-tutorials.github.io/2018/dsp/dsp.html

  • 2 Monate, Dez. 2019 - Jan. 2020

    Research Intern

    Joint Institute for Nuclear Research (JINR)

    Research collaboration on machine learning applications for plant disease detection.

  • 4 Monate, Juni 2016 - Sep. 2016

    Computer Vision R&D Intern

    Atomica AI

    Developed computer vision methods for planned dental surgeries. Topics: Computer Vision, Graph Algorithms, Dynamic Programming. Tools: C++, Qt, ITK, OpenCV, DICOM.

  • 4 Monate, Juni 2015 - Sep. 2015

    Research Intern

    EPFL

    Research on Mechanically Induced Trapping of Molecular Interactions followed by HT-seq (MITOMI-seq): Developing a microfluidic platform as a technique to characterize gene regulatory networks in DNA.

  • 2 Monate, Juli 2014 - Aug. 2014

    Research Intern

    American University in Cairo

    MEMS design and optimization, Micro-fabrication, Characterization techniques.

Ausbildung von Asem Alaa

  • 5 Jahre und 1 Monat, Okt. 2020 - Okt. 2025

    AI and Machine Learning

    Imperial College London

    Different Levels of Temporal Modeling of Electronic Health Records. Kewords — Temporal ML, Electronic Health Records, Disease Progression Modeling, Neural ODEs.

  • 3 Jahre und 5 Monate, Feb. 2017 - Juni 2020

    Biomedical Engineering

    Cairo University

    Interpretable Machine Learning Methods for Predicting Protein Subcellular Localization. Keywords --- Proteomics, Markov Chains, Time Series Analysis, Machine Learning, C++

  • 5 Jahre, Sep. 2011 - Aug. 2016

    Biomedical Engineering

    Cairo University

    High Performance Distributed Volume Rendering on Heterogeneous Computing Platforms. Project Scope: Investigating parallel and distributed rendering algorithms for accelerating volume reconstruction on multiple GPUs workstations. Kewords — Distributed Rendering, Sort-first, Sort-last, OpenCL, Socket Programming, SSH, Cluster Rendering, C/C++, Qt.

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