CV

General Information

Full Name Amir Joudaki
Location Zurich, SWITZERLAND
Languages English, Persian, German (A1)

Education

  • March 2019 - now
    Direct Ph.D. in Artificial Intelligence
    ETH Zurich
    • Focused on mathematical foundations of AI and AI for biomedicine.
    • MSc GPA. 5.68/6 (top 10%).
  • Feb 2014 - Feb 2017
    M.Sc. in Cognitive Neuroscience
    International School for Advanced Studies (SISSA)
    • Thesis on electrophysiological recordings in vivo in rats.
  • Sept 2008 - Sept 2011
    B.Sc. in Computer Engineering
    Sharif University of Technology

Experience

  • Jan 2022 - July 2022
    Machine Learning Consultant
    SkillLab
    • Developed a proof-of-concept for training, labeling, and monitoring NLP tasks using PyTorch, Flask, Typescript, React, MongoDB; orchestrated as microservices in REST API and deployed using Docker containers.
  • Jan 2013 - Dec 2013
    Research Assistant
    Sharif University of Technology
    • Conducted network-based analysis of EEG recordings for control and patient groups using MATLAB.
  • Sept 2011 - Dec 2012
    Software Engineer Intern
    Rahtech Hooshmand Sharif
    • Developed a vehicle tracking and monitoring product using Qt/C++.

Awards

  • 2017
    • Direct Doctorate Fellowship - Among two out of more than one hundred students selected for direct PhD program at ETH computer science department
  • 2011
    • Ranked 42nd - Among more than 50,000 participants in National Higher Education Entrance Exam
  • 2007
    • Ranked 369th - Among more than 400,000 participants in National University Entrance Exam

Projects

  • Human-in-the-Loop Pipeline for Occupation and Skill Extraction
    • Served as AI/NLP consultant, focusing on extracting occupations and skills from unstructured text and normalizing them to European Skills, Competences, and Occupations (ESCO) standards.
    • Designed a human-in-the-loop pipeline to validate model predictions, implemented as microservices deployed with Docker Compose.

Publications

  • Mathematical Foundations of AI
    • Batch normalization without gradient explosion: Towards training without depth limits, ICLR 2024.
    • On the impact of activation and normalization in obtaining isometric embeddings at initialization, NeurIPS 2023
    • On Bridging the Gap between Mean Field and Finite Width in Deep Random Neural Networks with Batch Normalization, ICML 2023
    • Batch Normalization Orthogonalizes Representations in Deep Random Networks, spotlighted NeurIPS 2021 (top 3% of submissions)
  • Genomic Sequence Analysis
    • Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs, NeurIPS workshop 2023
    • Aligning distant sequences to graphs using long seed sketches, Journal of Genome Research 2023
  • Dimensionality Reduction
    • Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping, IEEE transactions on pattern analysis and machine intelligence
  • Functional Brain Networks Analysis
    • Properties of functional brain networks affect frequency of psychogenic non-epileptic seizures, Frontiers in Human Neuroscience
    • EEG-based functional brain networks: does the network size matter?, PLoS ONE