Portrait of

Christopher Plaisier

Featured mentor, FURI

Asst Professor, School of Biological and Health Systems Engineering

Total mentored projects: 9

Christopher Plaisier’s laboratory focuses on constructing gene regulatory networks from patient data that can be used to discover diagnostic and prognostic biomarkers as well as novel drug targets. To accomplish this they integrate genetic, transcriptional, functional and clinical data together into one comprehensive gene regulatory network. They then design and conduct experiments which validate the predictions from these gene regulatory networks using in vitro cell culture models.

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Featured Mentor Q&A

Christopher Plaisier, an assistant professor of biomedical engineering, has been mentoring FURI and MORE students for three years. His work focuses on genetic research for discovering diagnostic and prognostic biomarkers and new drug targets. In his lab, Plaisier trains his students to be cross-disciplinary researchers. Read more

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Spring 2022

Margarito Hernandez Fuentes

Biomedical engineering

Assaying the Effect of Knock-Down of Ubiquitin-Specific Proteases in Malignant Pleural Mesothelioma

Studying the knock-down of ubiquitin-specific protease genes through transduction will provide newer methods of treatment for pleural mesothelioma.

Program: FURI

Fall 2021

Margarito Hernandez Fuentes

Biomedical engineering

Assaying the Effect of Knock-Down of Ubiquitin-Specific Proteases in Malignant Pleural Mesothelioma

Using shRNA molecules to silence genes responsible for the growth of pleural mesothelioma cancer will provide alternative treatments.

Program: FURI

Summer 2021

Emma Lieberman

Biomedical engineering

Genetically Engineering the Microalgae Chlamydomonas reinhardtii to Sequester Arsenic from Contaminated Groundwater: ASU International Genetically Engineered Machine Competition Project

Using synthetic biology, genetically engineered microalgae can reduce heavy metal contamination in local groundwater.

Program: GCSP

Spring 2021

Jacob Ryan Watson

Computer science

panCanSYGNAL

Creating a web application for cancer researchers studying lung cancer will help them to discover trends, study data and develop hypotheses.

Program: FURI

Margaret Katelyn Cook

Biomedical engineering

Building a Regulatory Network to Explore the Immune Landscape of Mesothelioma

Building a regulatory network using mesothelioma patient data will improve personalized cancer treatments.

Program: FURI

Fall 2020

Jacob Ryan Watson

Computer science

panCanSYGNAL

Designing a web application cancer researchers can use to look up data about cancers and study statistics related to those cancers will improve researchers' knowledge.

Program: FURI

Margaret Katelyn Cook

Biomedical engineering

Examining the Anti-Proliferative Properties of DUB Inhibitors in Primary Mesothelioma Cells

Testing drugs on mesothelioma cancer cells and reintegrating them into a predictive network will improve personalized cancer treatments.

Program: FURI

Spring 2020

Gabrielle Wipper

Biomedical engineering

Discovering Factors That Drive the Migration of Immune Cells Into Malignant Pleural Mesothelioma Tumors

Discovering factors driving immune cell migration to mesothelioma tumors using computational biology can benefit patient immunotherapy studies.

Program: FURI

Fall 2019

Gabrielle Wipper

Biomedical engineering

Discovering Factors that Drive the Recruitment of Macrophages to Glioblastoma Multiforme Tumor Cells

Studying biological factors that drive immune cell migration to glioblastoma tumor cells will increase understanding of cancer mechanisms.

Program: FURI

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