speakers.yml

# Speaker profiles keyed by `id`. Talks list `speakers: [id, ...]` in display order.
- id: stephen_hudson
  name: Stephen Hudson
  role: Principal Software Engineer
  institution:
    - name: Argonne National Laboratory
      link: https://www.anl.gov
      image: argonne.png
  country: us
  link: https://www.anl.gov/profile/stephen-hudson
  photo: hudson.jpg
  bio: >
    Stephen Hudson is a Principal Software Engineer at Argonne National Laboratory,
    working on workflow systems for high-performance computing.

- id: logan_ward
  name: Logan Ward
  role: Computational Scientist
  institution:
    - name: Argonne National Laboratory
      link: https://www.anl.gov
      image: argonne.png
  country: us
  link: https://www.anl.gov/profile/logan-ward
  photo: ward.jpg
  bio: >
    Logan Ward is a Computational Scientist in the Data Science and Learning Division
    of Argonne National Laboratory, which he joined in 2019 after a post-doc at the
    University of Chicago. Logan’s PhD dissertation was in Materials Science and
    Engineering and focused on the development of AI algorithms for materials, so most
    of his research focuses on the intersection between AI, HPC, and physical sciences.

- id: eli_dart
  name: Eli Dart
  role: Computer Systems Engineer
  institution:
    - name: Energy Sciences Network
      link: https://www.es.net/
      image: esnet.png
    - name: Lawrence Berkeley National Laboratory
      link: https://www.lbl.gov/
      image: lbnl.png
  country: us
  link: https://www.es.net/about/esnet-staff/science-engagement/dart
  photo: dart.jpg
  bio: >
    Eli has over 20 years of experience in network architecture, design, engineering,
    performance, and security in scientific and research environments. His primary
    professional interests are high-performance architectures and effective operational
    models for networks that support scientific missions, and building collaborations to
    bring about the effective use of high-performance networks by science projects.

- id: hannah_parraga
  name: Hannah Parraga
  role: Software Engineering Specialist
  institution:
    - name: Argonne National Laboratory
      link: https://www.anl.gov
      image: anl_aps.png
  country: us
  link: https://www.anl.gov/profile/hannah-parraga
  photo: parraga.jpg
  bio: >
    Hannah Parraga is a Software Engineering Specialist at Argonne National Laboratory.
    As a part of the Scientific Software and Data Management Group at the Advanced
    Photon Source since 2021, her interests include developing robust and reliable
    software solutions for scientific research such as automated data processing, secure
    data access, and intuitive user interfaces.

- id: carole_goble
  name: Carole Goble
  role: Professor of Computer Science
  institution:
    - name: University of Manchester
      link: https://www.manchester.ac.uk/
      image: umanchester.png
  photo: goble.jpg
  link: https://www.research.manchester.ac.uk/portal/carole.goble.html
  bio: >
    Carole Goble is a Professor of Computer Science at the University of Manchester,
    where she leads the eScience group. She is the joint head of ELIXIR-UK, the national
    node of the European Research Infrastructure for life science data, and the
    co-director of Federated Analytics for Health Data Research UK. She is also
    co-lead of the FAIR Computational Workflows working group in the Workflows Community
    Initiative.

- id: johan_gustafsson
  name: Johan Gustafsson
  role: Research Community Engagement Lead
  institution:
    - name: Australian BioCommons
      link: https://www.biocommons.org.au/
      image: aust-bio.png
    - name: University of Melbourne
      link: https://www.unimelb.edu.au/
      image: umelbourne.png
  photo: gustafsson.png
  link: https://www.biocommons.org.au/lb-johan
  bio: >
    Johan Gustafsson is the Research Community Engagement Lead (Proteins / Metabolites /
    Workflows) at the Australian BioCommons, University of Melbourne. The BioCommons is
    a national digital infrastructure initiative supporting Australian life sciences
    research.

- id: debbie_bard
  name: Debbie Bard
  role: NERSC Science Engagement and Workflows Department Head
  institution:
    - name: National Energy Research Scientific Computing Center
      link: https://www.nersc.gov/
      image: nersc.png
    - name: Lawrence Berkeley National Laboratory
      link: https://www.lbl.gov/
      image: lbnl.png
  country: us
  link: https://www.nersc.gov/about/nersc-staff/debbie-bard
  photo: bard.jpg
  bio: >
    Debbie Bard is a physicist and data scientist with 20 years experience in scientific
    computing, working in particle physics, cosmology and HPC. She leads the Science
    Engagement and Workflows department at the National Energy Research Scientific
    Computing center (NERSC), responsible for supporting and engaging NERSC’s 11,000
    users. She leads the Superfacility initiative at Lawrence Berkeley National Lab, and
    also leads the DOE’s Integrated Research infrastructure program, developing an
    ecosystem to integrate experimental facilities and HPC.

- id: titus_brown
  name: C. Titus Brown
  role: Professor of Population Health & Reproduction
  institution:
    - name: University of California, Davis
      link: https://www.ucdavis.edu/
      image: ucdavis.png
  country: us
  link: https://www.vetmed.ucdavis.edu/faculty/c-titus-brown
  photo: titus.jpg
  bio: >
    C. Titus Brown is a Professor in the School of Veterinary Medicine at UC Davis,
    where he works on methods in data intensive research across the biosciences, computer
    science, and software engineering. He is surprisingly passionate about open science
    and sociotechnical systems for community development of research infrastructure, and
    blogs regularly on these topics at ivory.idyll.org/blog/.

- id: alok_kamatar
  name: Alok Kamatar
  role: Graduate Student, University of Chicago
  institution:
    - name: University of Chicago
      link: https://www.uchicago.edu/
      image: uchicago.png
  country: us
  link: https://www.computerscience.uchicago.edu/people/alok-kamatar
  bio: >
    Alok Kamatar is a 4th year Ph.D. student at the University of Chicago advised by Ian
    Foster and Kyle Chard. Broadly, he is interested in building systems to enable faster
    and more efficient science. He is currently working on building Academy: a framework
    for integrating "Agents" with federated research infrastructure and exploring the
    associated systems challenges.

- id: raffaele_montella
  name: Raffaele Montella
  role: Associate Professor with tenure in Computer Science
  institution:
    - name: University of Naples “Parthenope”
      link: https://international.uniparthenope.it/
      image: ParthEng.png
  country: Italy
  link: https://www.raffaelemontella.it/
  photo: montella.png
  bio: >
    Raffaele Montella is an Associate Professor with tenure in Computer Science at the
    Department of Science and Technologies (DiST), University of Naples “Parthenope’”
    (UNP), Italy. He got his degree (MSc equivalent) cum laude and an award mention to
    his study career in (Marine) Environmental Science at the University of Naples
    “Parthenope” in 1998, defending a thesis about the “Development of a GIS system for
    marine applications”. He defended his Ph.D. thesis on “Environmental modeling and
    Grid Computing techniques” earning a Ph.D. in Marine Science and Engineering at the
    University of Naples “Federico II”. His main research topics and scientific
    production are focused on: tools for high-performance computing, cloud computing, and
    GPUs with applications in the field of computational environmental science
    (multi-dimensional geo-referenced big data, distributed computing for modeling, and
    scientific workflows and science gateways) leveraging on his previous (and still
    ongoing) experiences in embedded, mobile, wearable, pervasive computing, and Internet
    of Things. Since 2021 he has been head of the UNP node CINI Lab/Working Group “HPC: Key
    Technologies and Tools”. Since 2022 he has been the head of the AWS Academy at the
    University of Naples “Parthenope”. In February 2023, he gained the Italian National
    Academic Qualifications as Full Professor in Computer Science (01/B1).

- id: renan_souza
  name: Renan Souza
  role: Research Staff
  institution:
    - name: Oak Ridge National Laboratory
      link: https://www.ornl.gov/staff-profile/renan-souza
      image: ornl.png
  country: us
  link: https://www.ornl.gov/staff-profile/renan-santos-souza
  photo: souza.jpg
  bio: >
    Renan Souza earned his Ph.D., M.Sc., and B.Sc. in Computer Science (2009-2019) from
    the Federal University of Rio de Janeiro (UFRJ). Since 2022, he has been a researcher
    and software engineer at Oak Ridge National Laboratory, after spending seven years at
    IBM. He was a visiting scientist at INRIA, France, during his Ph.D. and, during his
    B.Sc., studied abroad at Missouri State University and interned at SLAC National
    Laboratory. Active in engineering, research, and technical leadership since 2010, he
    has authored 50+ peer-reviewed papers in leading venues and holds 10+ USPTO patents.
    His current focus is on designing and building scalable systems to support responsible
    and trustworthy AI workflows.

- id: jan_janssen
  name: Jan Janssen
  role: Group Leader for Materials Informatics
  institution:
    - name: Max Planck Institute for Sustainable Materials
      link: https://www.mpie.de/en
      image: max_plank.png
  country: de
  link: https://www.mpie.de/4910750/Janssen
  photo: janssen.jpg
  bio: >
    Jan Janssen is the group leader for Materials Informatics at the Max Planck Institute
    for Sustainable Materials. His group focuses on applying methods from computer science
    including machine learning to discover novel sustainable materials with applications
    ranging from machine-learned interatomic potentials to large language model agents for
    atomistic simulation. Previously, Jan was a director’s postdoctoral fellow in the
    T-division at Los Alamos National Laboratory as part of the Exascale Computing
    Project as well as an invited postdoctoral fellow at the University of Chicago and
    the University of California Los Angeles. Besides his research work, Jan is the lead
    developer of the pyiron atomistic simulation suite, maintains over 1000 open-source
    materials informatics software packages for the conda-forge community and is a
    regular contributor to open-source software on Github.

- id: patrick_wells
  name: Patrick Wells
  role: Postdoctoral Appointee at ANL
  institution:
    - name: Argonne National Laboratory
      link: https://www.anl.gov
      image: argonne.png
  country: us
  link: https://www.anl.gov/profile/patrick-wells
  photo: wells.jpg
  bio: >
    Patrick Wells is a postdoctoral appointee at Argonne National Laboratory who designs
    and builds tools to simplify access to large-scale cosmological datasets. He joined
    Argonne in 2024 after completing his PhD in Astrophysics from the University of
    California, Davis, where he worked on measuring the expansion rate of the universe by
    extracting information from galaxy surveys. His primary computational interests
    include data management and workflow orchestration, and he has scientific interests in
    large-scale structure cosmology and gravitational lensing.

- id: laurent_thomas
  name: Laurent Thomas
  role: Research Software Engineer at EMBL Heidelberg
  institution:
    - name: European Molecular Biology Laboratory
      link: https://www.embl.de
      image: embl.png
  country: de
  link: https://www.embl.org/people/person/laurent-sylvain-vincent-thomas/
  photo: thomas.jpg
  bio: >
    Laurent Thomas is a research software engineer, and currently a postdoctoral
    researcher at EMBL Heidelberg in the MODIS data science team. The team is developing
    LabID, the data-management solution of the EMBL. Prior to joining the EMBL, he did his
    PhD in Heidelberg working on image-analysis for microscopy. Then he worked a couple of
    years as a software engineer for a local microscopy company, before joining the EMBL
    in March last year.

- id: woong_shin
  name: Woong Shin
  role: HPC Systems Engineer
  institution:
    - name: Oak Ridge National Laboratory
      link: https://www.ornl.gov
      image: ornl.png
  country: us
  link: https://www.ornl.gov/staff-profile/woong-shin
  photo: woong.jpg
  bio: >
    Woong Shin, Ph.D. is a Research Scientist at Oak Ridge National Laboratory, working on
    agentic AI systems for scientific discovery and intelligent infrastructure for
    high-performance computing. His current focus includes AI-based systems and workflows
    for research automation and AI/ML-driven methods for operating exascale supercomputers
    like Frontier. He holds a Ph.D. in Electrical Engineering and Computer Science from
    Seoul National University. His work has been recognized with Best Paper at SC21 for
    HPC energy efficiency research, an R&D 100 Award for the ExaDigiT digital twin
    framework, and Distinguished Paper at the WORKS workshop (SC25) for research on
    scientific workflows in the agentic AI era.

- id: ming_du
  name: Ming Du
  role: Assistant Computational Scientist
  institution:
    - name: Argonne National Laboratory
      link: https://www.anl.gov
      image: anl.png
  country: us
  link: https://www.anl.gov/profile/ming-du
  photo: ming_du.jpeg
  bio: >
    Ming Du is a computational scientist in the Computational Science and AI Group (CAI) of
    the Advanced Photon Source. He obtained his PhD degree in Materials Science and Engineering
    from Northwestern University in 2019, and was a postdoc at the APS from 2019 to 2021. He
    worked as an algorithm engineer in KLA Corporation between 2021 and 2023. Ming’s primary
    research areas include traditional and AI-based methods for microscopy imaging and automated
    calibration and measurement at synchrotron beamlines.

- id: xiangyu_yin
  name: Xiangyu Yin
  role: Assistant Computational Scientist
  institution:
    - name: Argonne National Laboratory
      link: https://www.anl.gov
      image: anl.png
  country: us
  link: https://www.anl.gov/profile/xiangyu-yin
  photo: xiangyu_yin.jpg
  bio: >
    Xiangyu Yin is an Assistant Computational Scientist at APS working on computational algorithms,
    artificial intelligence, and scientific automation. He joined Argonne in 2023 as a Postdoctoral
    Appointee. Before that, he studied computational materials at Carnegie Mellon University.