[RAISE at UCR] Invitation, December 11th - 12th, 2024: Workshop on Computational Modeling & Machine Learning in Biology & Medicine

[Vassilis Tsotras]

Please find below information about the  Workshop on Computational 
Modeling & Machine Learning in Biology & Medicine, to be held next week, 
December 11^th  - 12^th , 2024 in MRB.

Sincerely,

V. Tsotras and A. Roy-Chowdhury

----------------------------------

Dear Colleagues,

We would like to invite you to attend the Workshop on Computational 
Modeling & Machine Learning 
<https://icqmb.ucr.edu/computational-modeling-and-machine-learning-biology-and-medicine-workshop-2024>in 
Biology & Medicine 
<https://icqmb.ucr.edu/computational-modeling-and-machine-learning-biology-and-medicine-workshop-2024> 


to be held on December 11^th  - 12^th , 2024, in the Auditorium on the 
1^st  floor of MRB1 <https://www.ucr.edu/mrb1>. The workshop is 
sponsored by the UCR Interdisciplinary Center for Quantitative Modeling 
in Biology (ICQMB) <https://icqmb.ucr.edu/>and UCRArtificial 
Intelligence Research and Education Institute (RAISE). 
<https://raise.ucr.edu/>

Registration and lunches are free. We need to count the number of 
participants to order lunches. Please fill out the *Registration Form 
<https://ucrmath.wufoo.com/forms/cmmlbm-workshop-2024-registration>.*

We look forward to seeing you at the Workshop next week.

Best regards,

Mark Alber

On behalf of the Organizing Committee

    ________________________________________________________________________________________

    Workshop on Computational Modeling & Machine Learning in Biology &
    Medicine
    <https://icqmb.ucr.edu/computational-modeling-and-machine-learning-biology-and-medicine-workshop-2024>

    December 11^th  - 12^th , 2024

    Location: UC Riverside, Auditorium on the 1^st  floor of MRB1
    <https://www.ucr.edu/mrb1>.

    Link:
    https://icqmb.ucr.edu/computational-modeling-and-machine-learning-biology-and-medicine-workshop-2024
    <https://icqmb.ucr.edu/computational-modeling-and-machine-learning-biology-and-medicine-workshop-2024>

    The workshop will focus on recent progress in computational modeling
    of biological and biomedical systems, model translational
    predictions in biology and medicine, as well as data-driven and
    machine learning methodologies with applications to biology. The
    workshop will provide a follow up to the NSF sponsored conference on
    similar topics held at UCR in November of 2023 titled Predictive
    Modeling in Biology and Medicine
    <https://icqmb.ucr.edu/predictive-modeling-biology-and-medicine-conference>.

    The workshop is sponsored by the UCR Interdisciplinary Center for
    Quantitative Modeling in Biology (ICQMB) <https://icqmb.ucr.edu/>and
    UCRArtificial Intelligence Research and Education Institute (RAISE).
    <https://raise.ucr.edu/>

    Registration and lunches are free. We need to count the number of
    participants to order lunches. Please fill out the
    *Registration Form*
    <https://ucrmath.wufoo.com/forms/cmmlbm-workshop-2024-registration>*.*

    *Plenary Speakers*

     1. Mettine Bos, Division of Thrombosis and Hemostasis, Leiden
        University Medical Center, Director, Einthoven Laboratory for
        Vascular and Regenerative Medicine, The Netherlands, Chair,
        European Thrombosis & Hemostasis Alliance
        <http://www.einthovenlaboratory.com/mettine-bos-phd/>

     1. Holly Goodson, Department of Chemistry and Biochemistry,
        University of Notre Dame, Fellow of the American Society for
        Cell Biology <https://chemistry.nd.edu/people/holly-goodson/>

    *Invited Speakers*

     1. Salman Asif, Department of Electrical and Computer Engineering,
        UC Riverside
     2. Sergio Branciamore, Department of Computational and Quantitative
        Medicine, City of Hope
     3. Wei-Chun Chou, Department of Environmental Sciences, UC Riverside
     4. Wei (Vivian) Li, Department of Statistics, UC Riverside
     5. Siting Liu, Department of Mathematics, UC Riverside
     6. Babgen Manookian, Department of Computational and Quantitative
        Medicine, City of Hope
     7. Maziar Raissi, Department of Mathematics, UC Riverside
     8. Andrei Rodin, Department of Computational and Quantitative
        Medicine, City of Hope
     9. Vishwanath Saragadam, Department of Electrical and Computer
        Engineering, UC Riverside
    10. Konnie Urbaniak, Department of Computational and Quantitative
        Medicine, City of Hope

    ________________________________________________________________________________________
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