School of Medicine

Bioinformatics and Computational Medicine Program

Summer Program in Bioinformatics and Data Science

Organizationally located within the LSUHSC- Bioinformatics and Computational Medicine Program program is designed to facilitate “the involvement of talented students in research aspects of the fields of bioinformatics, genomics and data sciences, in particular those from disadvantaged background such as underrepresented minorities, or first-generation college students.”

The summer program seeks to identify talented sophomores and juniors from around the country who could benefit from spending a summer on the LSUHSC campus working in a research laboratory under the mentorship and guidance of experienced scientists participating in the various bioinformatics and genomics interdisciplinary research projects focused on bioinformatics, genomics and data science.

The program also includes hands-on research in bioinformatics, genomics and data science and seminars by faculty, planned readings and discussions of research and results, and exercises in data analysis. Participants learn skills fundamental to the task of extracting information from the huge amounts of omics data produced by the various omics and next generation sequencing projects.

The program is funded by NIH, NSF and the School of Medicine. Our ideal candidates are undergraduate students with quantitative interests and skills who aspires to contribute to advances in biomedical research in the genomics era. This is not a program for students seeking a summer research experience in order to enhance your competitiveness for entry to medical school.

 

Summer Program Participants

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Mr. Michael L. Stewart                              2021

Xavier University, LA

Project:
Elucidation of the Genomic Landscope of Ovarian Cancer and COVID-19

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Mr. Mahir A. Rahman                              2021

Haynes Academy for Advanced Studies

Project:
Mapping the Genomic Landscape of TNBC and COVID-19

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Mr. Eric Espinal                              2020

Undergraduate in Microbiology:
University of Alabama at Tascalusa, AL

Project:
Integrative Genomics Approach to Biomarker Discovery in Colorectal Cancer

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Ms. Dahlia Siprut                              2020

Undergraduate in Biology:
University of New Orleans, LA

Project:
An Integrative Genomics Approach to Discovery of Molecular Markers in Ovarian Cancer

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Ms. Anjela Nguyen                                2019, 2020

Undergraduate in Computer Science:
Xavier University, LA

Project:
Genomic Classification and Prediction of Outcome in Pediatric ALL Patients using Machine Learning

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Mr. Yashwanth Mamidi                            2019

Master's in Computer Science:
University of New Orleans, LA

Project:
Classification Of Prostate Cancer Patients Into Indolent and Aggressive Using Machine Learning

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Mr. Ethan J. Nicklow                               2018, 2019

Undergraduate in Biomedical Engineering:
Duke University in Durham, NC

Project:
Genomic Classification and Prediction of Outcome in Pediatric ALL Patients using Machine Learning

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Mr. Gregory J. Schwing                          2017

Undergraduate in Bioinformatics:
University of New Orleans

Project:
Mapping the genomic landscape of pediatric glioblastomas.

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Mr. Thomas O. Beckstrom                      2017

School of Dentistry 
Louisiana State University Health Sciences Center

Project:
Defining the Genetic landscape of oral cancer.

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Jacob Elnaggar                                       2016

Undergraduate in Bioinformatics:
Baylor University, Texas.

Project:
Mapping the genomic landscape of triple negative breast cancer.

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Chiamaka Okeke                                     2016

Undergraduate in Biology: 
Louisiana State University, Baton Rouge.

Project:
Discovery of prognostic markers and therapeutic targets in childhood leukemia.