IRIS-HEP Fellows Presentations 2022

US/Eastern
Description
    • 10:00 10:15
      Andrii Len - The usage of Deep Learning for QCD background estimation 15m

      Mentors:
      Ece Asilar (CERN)

    • 10:15 10:30
      Ernest Sorokun - Data Reduction for the ProtoDUNE Detector Control System 15m

      Mentors:
      Dr. Lino Gerlach (Brookhaven National Laboratory, USA)

    • 10:30 10:45
      Volodymyr Svintozelskyi - Development of high-performance reconstruction algorithms for detecting long-lived particles 15m

      Mentors:
      Arantza Oyanguren (IFIC - University of Valencia/CSIC, Spain)

    • 10:45 11:00
      Haoran Sun - Support for MiniAOD Transformer for ServiceX 15m

      Mentors:
      Gordon Watts (University of Washington)
      Benjamin Galewsky (NCSA)
      Oksana Shadura (University of Nebraska - Lincoln)
      Mason Proffitt (University of Washington)
      Alexander Held (New York University)

    • 11:00 11:15
      Bohdan Tyshchenko - A rigorous benchmarking of methods for SARS-CoV-2 lineage detection in wastewater 15m

      Mentors:
      Serghei Mangul (University of Southern California)
      Sergey Knyazev (University of California)
      Alina Frolova (Institute of Molecular Biology and Genetics)

    • 11:15 11:20
      Break 5m
    • 11:20 11:35
      Volodymir Shabanov - Role of Myocardin-Related Transcription Factors in the Smooth Muscle Cell gene program 15m

      Mentors:
      Dmytro Kryvokhyzha (Lund University Diabetes Center)

    • 11:35 11:50
      Dmytro Horyslavets - Sequence-read extraction from counting de Bruijn graphs 15m

      Mentors:
      Andre Kahles (University of Zurich)

    • 11:50 12:05
      Ameya Thete - Equivariant GNNs for Charged Particle Tracking 15m

      Mentors:
      Savannah Thais (Princeton University)
      Daniel Murnane (Lawrence Berkeley National Laboratory)

    • 12:05 12:20
      Anni Li - Generation of High-Energy Particle Collisions using Generative Adversarial Particle Transformers 15m

      Mentors:
      Javier Duarte (UCSD)

    • 12:20 12:35
      Elliott Kauffman - PV-Finder for ATLAS: Exploring a deep learning approach for Primary Vertex Identification 15m

      Mentors:
      Henry Schreiner (Princeton University)
      Mike Sokoloff (University of Cincinnati)
      Rocky Bala Garg (Standord University)