euxhen.hasanaj

Curriculum Vitae

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experience

  1. GenBio AI

    Dec. 2024 – Present

    Research Scientist, Machine Learning · Palo Alto, CA

    • Leading the Science Team driving scientific applications of GenBio AI's Virtual Cell engine, overseeing research direction, translational strategy, and external partnerships.
    • Building components of GenBio's Virtual Cell system for modeling sequence variants.

  2. Sanofi

    May 2023 – Aug. 2023

    Computational and Systems Biology Intern · Cambridge, MA

    • Designed a pseudotime-ordering algorithm based on multi-commodity flow to align heterogeneous patient trajectories.
    • Applied to psoriasis, COVID-19, and Crohn's disease clinical datasets; results published at ISMB 2024.

  3. University of Pittsburgh School of Medicine

    Nov. 2022 – May 2023

    Laboratory Apprentice · Pittsburgh, PA

    • Induced cellular senescence in human cell cultures via chemotherapeutics (bleomycin, doxorubicin) and irradiation.
    • Identified 100 novel aging markers; developed a positive-unlabeled learning framework for senescence signature discovery.

  4. Genesis Therapeutics

    May 2022 – Aug. 2022

    Machine Learning Intern · Burlingame, CA

    • Trained generative language models on SMILES strings for de novo molecule design; optimized for novelty and synthetic accessibility.

  5. Ritech Solutions

    Jan. 2021 – Aug. 2021

    Machine Learning Engineer · Tirana, Albania

    • Deployed deep learning models for monocular depth estimation and image classification in industrial inspection pipelines.

  6. Centroida

    Nov. 2017 – Aug. 2018

    Machine Learning Engineer · Sofia, Bulgaria

    • Developed real-time face detection and tracking algorithms using convolutional neural networks.

education

  1. Carnegie Mellon University

    Aug. 2021 – Dec. 2024

    Ph.D. in Machine Learning · Pittsburgh, PA

    • Dissertation: "Machine Learning Strategies for Biomarker Discovery: A Senescence Case Study."
    • TA: Convex Optimization; Machine Learning with Large Datasets.
    • Developed algorithms for biomarker discovery, trajectory inference, and dynamic gene-regulatory network reconstruction.

  2. Carnegie Mellon University

    Aug. 2019 – Dec. 2020

    M.S. in Machine Learning · Pittsburgh, PA

    • Built Cellar, an interactive software for single-cell data integration and cell-type annotation.

  3. American University in Bulgaria

    Sep. 2015 – May 2019

    B.A. in Computer Science & Mathematics · Blagoevgrad, Bulgaria

    • Salutatorian, Class of 2019.
    • Study Abroad: University of Iowa.

honors & awards

  • 20224th place, NeurIPS AutoML Decathlon Competition
  • 2019Silver Medal, International Mathematics Competition for University Students (IMC)
  • 2018Silver Medal, Computational Mathematics Competition, Bulgaria
  • 2018Honorable Mention, International Mathematics Competition for University Students (IMC)
  • 2017Bronze Medal (team), ACM Southeastern Europe Regional Programming Contest, Romania
  • 20172nd Place (team), National Programming Contest, Bulgaria
  • 2016Honorable Mention (team), ACM Southeastern Europe Regional Programming Contest, Romania
  • 2015Honorable Mention, International Mathematical Olympiad (IMO), Thailand
  • 20152nd Place, National Mathematical Olympiad, Albania
  • 20153rd Place, National Chemistry Olympiad, Albania
  • 2019–20Excellence Fellow, Ministry of Education, Sport and Youth, Albania
  • 2019Salutatorian, Class of 2019, American University in Bulgaria
  • 2019Outstanding Achievement in Computer Science, American University in Bulgaria
  • 2019Outstanding Achievement in Mathematics, American University in Bulgaria
  • 2015–19Dean's List, American University in Bulgaria
  • 2015–19AADF Scholar, Albanian-American Development Foundation

professional service

NIH Cellular Senescence Network (SenNet) Consortium

Sep. 2022 – Present

Member, Consortium Organization and Data Coordinating Center (CODCC)

  • Developed methods to discover senescence biomarkers as a member of the Biomarker Working Group.

NIH Human BioMolecular Atlas Program (HuBMAP) Consortium

Aug. 2019 – Dec. 2020

Member, Platform Development and Data Analysis Team

  • Developed software tools to enable large-scale collaboration, integration, and comparison across single-cell omics platforms and modalities.

Mathematics Club (Polygon), American University in Bulgaria

Sep. 2017 – May 2019

Founder / President

  • Organized talks, mathematics competitions, and social events between math students and professors.