
Mohammad Kohandel
@uw_kohandel
Mohammad Kohandel
Associate Professor
Department of Applied Mathematics
University of Waterloo
ID: 777876432433414144
19-09-2016 14:26:08
556 Tweet
129 Followers
155 Following


The CMS is pleased to announce that Dr. Anita Layton (Waterloo Mathematics) has been named the recipient of the 2021 Krieger-Nelson Prize for her exceptional contributions to mathematical research. #AppliedMathematics cms.math.ca/news-item/dr-a…





Quantitative Approaches to Cancer Immunotherapy mdpi.com/si/65641 #mdpicancers via Cancers MDPI



The 2021 CAP/DCMMP Brockhouse Medal is awarded to Roger Melko (University of Waterloo) to recognize his work on the theoretical understanding of many-body quantum systems through large-scale computer simulations! #CAPMedal ow.ly/ZBzS50H7pmk



Join us next week as we begin our Waterloo.AI and Waterloo Institute for Nanotechnology Joint Workshop on "Artificial Intelligence for Science & Engineering". For more information and to register: uwaterloo.ca/artificial-int…


Circadian and Immunity Cycle Talk in Cancer Destination: From Biological Aspects to In Silico Analysis mdpi.com/1550624 #mdpicancers via Cancers MDPI

Learn more about advances on cancer-on-chip models from CBB members, Mahla Poudineh and Mohammad Kohandel, review of the development of 3D tumors and tumor microenvironments which can be used in cancer studies and anticancer therapies. #UWaterlooResearch sciencedirect.com/science/articl…!


To combat venetoclax resistance in acute myeloid leukemia, Prof. Michelle Przedborski, PhD and CBB member Mohammad Kohandel, are using mathematical models to identify the mechanisms that help overcome the resistance, and determine the best treatment protocol. journals.plos.org/ploscompbiol/a… Waterloo Mathematics

My and Mohammad Kohandel's recent paper on optimizing the timing of radiation therapy to stem cells is featured in this week's newsletter. Thanks Jeffrey West for the highlight!

Looking for a way to optimize in-vitro 3D #bioprinting? CBB member, Mohammad Kohandel, has demonstrated how in-silico models can predict and elucidate post-printing biological functions without replicating costly and time-consuming in-vitro measurements. nature.com/articles/s4159…
