Sachet A. Shukla, Ph.D.
Assistant Professor
Director, Computational Biology, Cancer, Leukemia, and
Immunity Post Stem cEll transplant (ECLIPSE)
Director, Cancer Vaccine Program
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COMPUTATIONAL TEAM
Tejas Jammihal, M.B.
Research Investigator
Tejas is a computational biologist in the Shukla Lab at MD Anderson. He graduated from Indian Institute of Technology, Madras with a degree in Biological Engineering and went on to receive a master’s degree in Biotechnology at the Pennsylvania State University. He performed his master’s research at Novartis Institute of Biomedical Research, to create transcriptional signatures of response to smoking in preclinical mouse models. Following this, he worked as a Bioinformatics Analyst at Dana-Farber Cancer Institute under the direction of Dr. Toni Choueiri. Here, his projects focused on identification of genomic and transcriptomic determinants of response and resistance to immune checkpoint inhibitors in ccRCC. At the Shukla Lab, his work is focused on the multi-omics analysis of hematopoietic malignancies, and association with clinical outcomes. Outside of work, Tejas enjoys traveling, photography and all things food.
Juan J. Gallegos, M.S.
Computational Scientist
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Chunlei Yu, M.S.
Associate Computational Scientist
Chunlei is a Computational Biologist in the Dr. Shukla Lab at MD Anderson. She completed a Master’s in Bioinformatics degree from the Chinese Academy of Sciences, Beijing Institute of Genomics in September 2017. Chunlei previously worked at Ziopharm as a Bioinformatics Scientist, which provided her with an extensive experience in analyzing sequencing data from cancer patients. As an associate computational scientist in the Hematopoietic Biology and Malignancy department, her ongoing research studies focusing on antigen discovery through computational methods.
Arnau Peris Cuesta, M.B.
Associate Computational Scientist
Arnau is an associate computational scientist in the Shukla’s lab at MD Anderson. He graduated from University of Bologna and received his international Msc in Bioinformatics, completing his thesis research in the CSIC (Parc Cientific, Valencia, Spain). He studied the design of co-expression networks for regulatory pathways by using transcriptomic profiling. After his Msc, he joined YourBiome Therapeutics (Lisbon, Portugal) where he led the construction of a Machine Learning predictor for clinical response to COVID19 based on the patients gut microbiome. In the Shukla’s lab, he is building a model for predicting neoantigens quality and tumor fitness while generating different pipelines for NGS approaches.
BIOLOGICAL TEAM
Pappanaicken R Kumar, PhD
Assistant Professor, Department of Lymphoma/Myeloma – Research, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
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Susmita Kumari, Ph.D.
Research Scientist
As a Research Scientist in the Hematopoietic Biology and Malignancy department at MD Anderson Cancer Institute, my ongoing research focuses on identification of tumor antigen for cancer vaccine development. Neoantigens are critical targets to elicit robust antitumor T-cell responses. To identify mutation-derived neoantigens, whole exome sequencing, long read RNA sequencing, long read whole genome sequencing, single cell RNA sequencing, TCR sequencing etc. will be conducted on samples obtained from patients by surgery, biopsy or intravenous blood sampling. Bioinformatic analysis will reveal several candidate peptides. My aim is to develop rapid, effective, sensitive and high-throughput assays to determine the immunogenicity of candidate peptides that may include IFN-gamma release assay, intracellular staining for perforin, granzyme, cytotoxicity assay. The lessons learned in these studies will be used to generate new and advanced strategies for the development of cancer vaccine.
MEDICAL TEAM
Dustin McCurry
Computational Scientist
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ROTATION STUDENTS
Andres R Lopez Rivas
Graduate student
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