Iakovos Toumazis is a Postdoctoral research fellow at the department of Radiology at Stanford School of Medicine. He is working under the supevision of Dr. Sylvia Plevritis as a member of the NCI's Cancer Intervention and Surveillance Modeling Network (CISNET) focussing on lung cancer. His research objective is to estimate the health benefit of implementing various screening and tobacco control policies. He completed his Bachelor of Science (B.S.) in Mathematics with a major in Probability and Statistics at University of Patras, Greece in 2009. A year after obtaining his BS degree he started his graduate studies at the University at Buffalo. His Master's thesis proposes new routing methods that minimize the risk of transporting hazardous materials. He has co-authored two journal publications and one book chapter from his Master's studies. After his Master's study, in 2012, he started his doctoral studies at the Industrial & Systems Engineering department of the University at Buffalo which he completed in 2015. At the intersection of chemotherapy scheduling and stochastic dynamic optimization, his doctoral studies address pressing health care problems the physicians encounter while making decisions for colorectal cancer patients. His research on transportation science and health care have been presented at the annual research meetings of various leading professional communities such as INFORMS, Institute of Industrial and Systems Engineers, and Society of Medical Decision Making.

Current Position

Postdoctoral Research Fellow

Department of Radiology, Stanford School of Medicine



Doctor of Philosophy, PhD, Industrial & Systems Engineering

University at Buffalo, SUNY, Amherst, NY

Dissertation: "Dynamic Chemotherapy Scheduling for Metastatic Colorectal Cancer Patients: Assessments and Improvements"

September 2015

September 2012

Bachelor of Science, BS, Mathematics

University of Patras, Greece

Thesis: "Dynamic Programming"

September 2009

Professional Experience

Adjunct Instructor

Department of Industrial & Systems Engineering, University at Buffalo, SUNY, Amherst, NY

    EAS 305: Applied Probability & Statistics Inference (Summer 2015 - Enrollment: 18)

    IE 320: Engineering Economy (Summer 2013 - Enrollment: 28)

Teaching Assistant

Department of Industrial & Systems Engineering, University at Buffalo, SUNY, Amherst, NY

    IE 507: Design of Experiments (Graduate level)

    IE 514: Revenue Management (Graduate level)

    IE 572: Linear Programming (Graduate level)

    IE 504: Facility Design (Graduate level)

    EAS 305: Applied Probability & Statistics Inference (Undergraduate level)

August 2012 - May 2015

Graduate Assistant

Processing Area Improvement initiative, Goodwill Industries of WNY, Buffalo, NY

    Developed forecasting system.

    Developed production planning and staffing systems.

    Identified seasonality in the uncertainty of input resources and bottlenecks in the processing area.

    Improved processing area's layout.

December 2011 - June 2012

Tutor of Mathematics

ELC Private Institute, Limassol, Cyprus

    Responsible for the Mathematics Department

    Taught all high school levels

September 2009 - August 2010




Computing skills

    CPLEX Optimizer





    MS Office


    GCE in Pure Mathematics (A’ Level)

    GCE in Pure Mathematics (O’ Level)

    GCE in Statistics (A’ Level)

    GCE in Physics (O’ Level)

    GCE in English Language (O’ Level)

    Modern Greek (O’ Level)

Other Information

    Permanent Resident of United States