Samir B Amin, MBBS, Ph.D.

Postdoctoral Associate

Working in the comparative oncology field to study spontaneous development of glioma in Canis familiaris or dogs with emphasis on characterizing and comparing cancer genome and transcriptome to that in human glioma.

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About Samir B Amin, MBBS, Ph.D.

Dr. Amin received his Ph.D. in cancer computational biology from Baylor College of Medicine, Houston, TX in 01/2017. His thesis work was carried out at the UT MD Anderson Cancer Center, and was focused on understanding long non-coding RNA interactions in the context of chromatin organization using integrated analyses of publically available expression, epigenomic and chromatin interaction data. Before completing Ph.D., Dr. Amin received research training (2008-2011) in computational biology at the Dana-Farber Cancer Institute, Boston, MA where he worked on the assessment of gene expression profiling as predictive biomarker in multiple myeloma. Previously, Dr. Amin received his first professional degree in medicine, MBBS from the Medical College of Maharaja Sayajirao University of Baroda, Vadodara, India in 2005.

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Education and experience

Education:

Bachelor of Medicine, Bachelor of Surgery (MBBS) 11/1998-03/2005 Maharaja Sayajirao University of Baroda, Vadodara, Gujarat India
Ph.D. 08/2011-01/2017 Cancer Computational Biology, Graduate Program in Structural and Computational Biology & Molecular Biophysics (SCBMB), Baylor College of Medicine, Houston, TX

Experience:

Postdoctoral fellow 2017-Present Verhaak Lab at the Jackson Laboratory for Genomic Medicine, Farmington, CT
Graduate Student 2011-2016 Baylor College of Medicine and the UT MD Anderson Cancer Center, Houston, TX
Research fellow 2008-2011 Dana-Farber Cancer Institute, Boston, MA
Resident physician 2006-2007 Bhailal Amin General Hospital, Vadodara, GJ, India

Honors and accomplishments

Prof. John J. Trentin Award for Scholastic Excellence
2012 Baylor College of Medicine, Houston, TX

Selected Publications

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Research HighlightDecember 11, 2018
The unexpected advantages of outbred mice in research
Recently developed outbred mouse populations, such as the diversity outbred (DO) mice at The Jackson Laboratory (JAX), have created research options that parallel or even exceed human genetic diversity. Research with DO mice offers a full range of genetic diversity, and therefore more generalizability of responses across populations.
Blog PostNovember 27, 2018
Efficient and effective methods to use family history data for risk assessment
As 1 in 10 people are at increased risk for cancer, but often go undetected, knowing who these people are can lead to personalized management and better health outcomes.
- Cancer/Tumors
- Cancer
Blog PostNovember 12, 2018
Moving forward at the National Cancer Institute
It’s an exciting era for cancer research and care, but NCI Director Norman “Ned” Sharpless knows the formidable challenges that still must be overcome.
Blog PostOctober 31, 2018
Can we do a better job of preserving fertility and ovarian function for young breast cancer survivors?
Young women with a new cancer diagnosis are faced with a number of challenges. These patients (and their providers) are often anxious to begin treatment right away. The problem is that many young women haven’t started or completed their families at the time of their diagnosis.

Blog PostDecember 11, 2018
Nesting dolls and Narnia
If movies were true to real life, matryoshka dolls would provide a good analogy for genomics research.
Press ReleaseNovember 13, 2018
V Foundation funds JAX cancer research for third straight year
Armed with new funding from the V Foundation, Olga Anczuków-Camarda is uncovering genetic changes in the breast, paving the road to early cancer detection and prevention.
Research HighlightNovember 08, 2018
Working with uncertainty in cell populations
JAX researchers have developed a new computational algorithm that is capable of modeling the effects of both stochastic gene expression and cell-to-cell variability in a cell population.
Press ReleaseOctober 24, 2018
Data provides new hope for pediatric brain tumor patients
Using computer models, researchers have identified a potential new therapy that would reduce the long-term side effects of radiation therapy in pediatric brain cancer patients.