Elvis Duran Sierra
Data Scientist @UT MD Anderson
Signup · Get unlimited contacts
WORK HISTORY
Data Scientist @UT MD Anderson
Houston, TX, US
Lead data scientist and manager of the Advanced Bone and Soft-Tissue Imaging (ABASTI) laboratory in the musculoskeletal (MSK) imaging department.• The ABASTI project is a collaborative intra- and inter-departmental effort that involves the development and validation of functional MRI sequences: Susceptibility-Weighted Imaging (SWI), Perfusion-Weighted Imaging (PWI), and Diffusion-Weighted Imaging (DWI). We aim to better characterize and predict responses in soft-tissue sarcomas and MSK oncology using tumor biomarkers and therapy-induced changes demonstrated by SWI, PWI, and DWI.
EDUCATION
Texas A&M University
Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering
Universidad Anahuac Mayab
Bachelor’s Degree, Mechatronics, Robotics, and Automation Engineering
ABOUT ELVIS DURAN SIERRA
Elvis is a Data Scientist and Project and Administrative Manager of the advanced bone and soft-tissue tumor imaging (ABASTI) laboratory at MD Anderson. His ABASTI research includes radiomics, machine learning-based diagnosis of musculoskeletal cancers, and development of computational tools for functional MRI data processing-> From 20••••25, the ABASTI lab has generated 51 accepted conference abstracts, 15 conference publications, and 12 peer-reviewed journal publications-> Elvis\' fields of expertise include project management, software development, medical imaging, biostatistics, machine learning, and deep learning-> PhD. in Biomedical Engineering from Texas A&M University (TAMU), College Station, TX, USA. BSc. in Mechatronics Engineering from Universidad Anahuac Mayab, Merida, Yucatan, Mexico-> From 20••••15, he worked as a Software Engineer in Plenumsoft Merida, where he developed machine learning algorithms for automated classification of airborne hyperspectral images-> From 20••••22 he conducted his PhD. studies in TAMU, where he implemented computational tools for oral cancer diagnosis based on multispectral fluorescence lifetime imaging (mFLIM). After completion of his PhD, he worked for 2 years as a postdoctoral researcher in Biomedical Engineering at TAMU, where he further developed computational algorithms for mFLIM data processing and machine learning pipelines-> From 20••••24, he worked as a Research Scientist in the musculoskeletal imaging department at MD Anderson Cancer Center in Houston, TX, USA, and implemented an in-house Cancer Radiomic and Perfusion Imaging (CARPI) automated framework, available at: https://github.com/ABASTI-Lab/CARPI.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.