Amin A.

Amin A. has diverse work experience in the fields of statistical research, health economics modeling, science writing, and research assistantship.

Starting in 2010, Amin worked as a Part-time Research Assistant at Avicenna Research Institute, where they designed feeding regimes for hybridoma cell cultures in controlled stirred tank bioreactors and completed pre-feasibility studies for monoclonal antibody production plants.

In 2011, Amin worked as a Research Trainee at The University of Auckland, where they contributed to the segmentation of MR images of cerebral circulation in hypertensive rats, developed MATLAB code for Windkessel models of circulation, and contributed models of intracellular calcium oscillations to the CellML repository.

From 2011-2012, Amin was a Research Assistant at the Stem Cell Processes Lab at Sharif University of Technology. There, they designed a feeding regime for hybridoma cultures in stirred tank bioreactors, increasing monoclonal antibody production and decreasing lactate production. Additionally, Amin designed a recombinant monoclonal antibody manufacturing plant and conducted a pre-feasibility study for biosimilar Trastuzumab.

In 2013, Amin worked as a Graduate Research Assistant at the University of Calgary, where they developed and tested a novel cell therapy using MSCs to prevent recurrence of intracranial aneurysms. Amin also conducted a cost-utility analysis for the proposed therapy.

From 2015-2016, Amin served as a Graduate Research Assistant at The University of British Columbia, optimizing computer vision MATLAB code for detecting cells during inkjet printing, designing a non-invasive low-cost medical device, and leading a team in developing a machine learning-based smart operating room booking management system.

From 2016-2017, Amin worked as a Science Writer at CCRM, where they utilized their scientific expertise to communicate research findings to a wider audience.

In 2016, Amin also began working at the UBC Faculty of Pharmaceutical Sciences. Initially serving as a Health Data Analyst, Amin developed and maintained code for the Evaluation Platform in Chronic Obstructive Pulmonary Disease (COPD), developed an R package for the platform, and developed a method to calibrate the incidence of COPD based on patient-level risk factors.

In 2017, Amin transitioned to the role of a Statistical Research Analyst at UBC Faculty of Pharmaceutical Sciences. Amin developed the Acute COPD Exacerbation Prediction Tool (ACCEPT), co-founded the Peer Models Network, led the cost-effectiveness activity of an $11M Genome Canada grant, and conducted modeling and harm-benefit analysis for BC's COVID-19 vaccination program.

Finally, in 2021, Amin joined CADTH as a Health Economics Modeling Consultant, where they apply their expertise in health economics modeling to support decision-making processes.

Amin A. began their education journey by completing a Bachelor of Science (B.Sc.) degree in Chemical Engineering from Sharif University of Technology between the years 2007 and 2012. Amin then pursued a Master of Science (M.Sc.) degree in Biomedical Engineering from the University of Calgary from 2013 to 2015. Afterward, they engaged in graduate courses at The University of British Columbia from 2015 to 2017. In addition to their formal education, Amin A. has obtained several certifications including the 6th IVADO/Mila Deep Learning School from Mila - Quebec Artificial Intelligence Institute in March 2021, The Data Scientist's Toolbox from Coursera Course Certificates in July 2016, Epidemiology: The Basic Science of Public Health from Coursera Course Certificates in June 2016, Fundamentals of Project Management I: A Team Based Approach from Mitacs Inc. in November 2015, Design and Interpretation of Clinical Trials from Johns Hopkins Bloomberg School of Public Health in March 2014, Introduction to Clinical Neurology from UCSF in March 2014, Instructional Skills Workshop from the University of Calgary in July 2013, and Rabbit and Large Animal Surgery from the University of Calgary in June 2013.