cv

Basics

Name Euxhen Hasanaj
Label Ph.D. Student
Email ehasanaj@cs.cmu.edu

Education

  • 2021 - 2025

    Pittsburgh, PA

    PhD
    Carnegie Mellon University
    Machine Learning
  • 2019 - 2020

    Pittsburgh, PA

    MS
    Carnegie Mellon University
    Machine Learning
  • 2018 - 2018

    Iowa City, IA

    Exchange Student
    University of Iowa
  • 2015 - 2019

    Blagoevgrad, Bulgaria

    BA
    American University in Bulgaria
    Computer Science, Mathematics

Research

  • 2019.12 - Present
    Research Assistant
    Carnegie Mellon University
    Leveraging machine learning to uncover mechanisms involved in cellular senescence and aging.
    • Machine Learning
    • Senescence
    • Biomarkers
    • Drug Discovery
    • Aging
  • 2022.11 - Present
    Laboratory Intern
    University of Pittsburgh Medical Center (UPMC)
    Performing gene knockout/overexpression experiments and Bleomycin-induced DNA damage to determine causal effects of marker genes on cellular senescence.
    • Senescence
    • Cell cultures
    • Lab work

Work

  • 2023.05 - 2023.08
    Computational Biology Research Intern
    Sanofi
    Analyzed longitudinal gene expression data from patients with a few time points.
    • Trajectory inference
  • 2022.05 - 2022.08
    Machine Learning Research Intern
    Genesis Therapeutics
    Researched and developed deep generative models for de novo drug design, optimizing for novelty and diversity of molecules.
    • Drug Discovery
  • 2021.01 - 2021.08
    Machine Learning Engineer
    Ritech
    Proposed and implemented novel computer vision models for various tasks such as monocular depth estimation, image classification, and image segmentation.
    • Computer Vision
  • 2017.11 - 2018.08
    Machine Learning Engineer
    Centroida
    Investigated deep learning methods for real-time face detection and developed face tracking algorithms.
    • Computer Vision

Awards

Publications

Organizations

  • 2022.09 - Present
    Member - Consortium Organization and Data Coordinating Center (CODCC)
    NIH Cellular Senescence Network (SenNet) Consortium
    Developing methods to discover senescence biomarkers as a member of the Biomarker Working Group.
    • Senescence
  • 2019.08 - 2020.12
    Member - Platform Development and Data Analysis Team
    NIH Human BioMolecular Atlas Program (HuBMAP) Consortium
    Developed software tools to enable large-scale collaborations, integration, and comparisons across many different single-cell omics platforms and modalities.
    • single-cell technologies
  • 2017.09 - 2019.05
    Founder/President
    Mathematics Club (Polygon)
    Organized several events including talks by students and professors, mathematics competitions, and social events between math students and professors.
    • Math Club

Teaching

Languages

Albanian
Native speaker
English
Fluent
Italian
Intermediate
French
Beginner

Interests

Machine Learning + Systems Biology
Cellular Senescence
Time Series Modeling
Graph Neural Networks
Temporal Graphs
Drug Discovery
Molecule Generation
Pseudotime ordering