CV
Contact Information
| Name | Divya Krishna Kumar |
| Professional Title | PhD candidate |
| divz.kkumar@gmail.com | |
| Location | 234 Hertzl St, Weizmann Institute of Science, Israel 7610001 |
Professional Summary
A biologist in the pursuit of cracking the code of life.
Experience
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2018 - 2018 Kansas City, USA
Summer Scholar (internship)
Stowers Institute for Medical Reseach, USA
- single molecule FISH in Drosophila melanogaster embryos to study RNA polymerase pausing in the lab of Dr Julia Zeitlinger
Education
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2021 - 2026 Rehovot, Israel
PhD
Weizmann Institute of Science
Computational/Molecular Biology
- Relavant Courses: Projects in Data Science, Introduction to Machine Learning, Analyzing Single Cell Seq Data, Mathematics for Biology, Statistics for Life Sciences, Network analysis in Systems Biology
- Computational: Identified gene regulatory patterns of transcription factors in yeast by analyzing NGS genomics data. Developed end-to-end NGS pipelines from wet-lab data to downstream analysis. Routine handling of large-scale datasets.
- Experimental: created >500 yeast TF mutants, set up a protein experimental domain in an in vivo lab (designing protocols, acquiring reagents and instruments)
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2018 - 2021 Rehovot, Israel
Masters
Weizmann Institute of Science
Computational/Molecular Biology
- Single-nucleosome imaging to study K27me3 epigenetic modifications in breast cancer (Dr Efrat Shema)
- Single molecule imaging, MST and modeling of allosteric signal transmission by DNA in ComK’s targets genes (Dr Hagen Hoffman)
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2014 - 2018 Bangalore, India
Bachelors
Indian Institute of Science
Biology
- Studying biophysics of Zika Viral Helicase though single molecule measurements and biochemical assays (Dr Rahul Roy)
Awards
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2024 Azrieli Institute for Systems Biology “Innovative Award”
Project proposal granted 10000$
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2024 Best Talk Award, Israeli Conference on Protein-DNA Interactions
Talk on this research
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2022 Azrieli Institute for Systems Biology “Innovative Award”
Project proposal granted 5000$
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2015 KVPY Fellowship
KVPY-SB AIR 55
Skills
Programming: Python, MATLAB
Bioinformatics: NGS omics data analysis
Machine Learning:
Pipelines: Snakemake, Unix
Experimental Biology: Molecular biology, ChEC-Seq in vivo assays, flow cytometry, protein expression and purification, FACS, microfluidic techniques, single molecule microscopy, SPR, MST, western blots
Interests
Biology: Gene Regulation, Genomics, Transcription Factors, Intrinsically disordered proteins, Biological sequence grammar (genome and IDRs)
Personal: Cooking, Hiking, Music, Art, Reading Books