Kaushal Grover
, Age 23
Computational Biologist
Available for work
About
I am a recent Master's graduate in Computational Biology from Jawaharlal Nehru University (JNU). My expertise lies in analysis of various types of High-Throughput sequencing Omics (NGS) data, with a strong focus on bulk and single-cell RNA sequencing. My expertise extends to survival analysis and the application of Machine Learning techniques in gene expression data analysis.
I am proficient in programming languages such as Python, R, and Bash, and I regularly utilize bioinformatics tools and libraries including scikit-learn, pandas, matplotlib.
I am actively seeking new opportunities to apply my skills in the field of computational biology and genomics.
Skills
Python (Pandas, NumPy, Scikit-learn, MatPlotLib, Flask), R, Bash, NGS tools, NGS Pipelines, Genomics, Machine Learning, Survival Analysis, Statistics, Microsoft Excel, Team worker, Communication.
Experience
Master’s Dissertation
Jan 2024 - Jun 2024 · 6 months
JNU, New Delhi
Dr. Arnab Bhattacharjee’s Lab, Department of Computational and Integrative Sciences (SCIS)
Dissertation Title: Identification of Novel Biomarkers for Head and Neck Squamous Cell Carcinoma (HNSC) Using AMPK Pathway Gene Expression Data
Analyzed over 830 samples from the TCGA and GEO datasets, applying data normalization and differential expression techniques to filter potential biomarkers, focusing on genes with a minimum of 2-fold increase.
Developed a machine learning Cox Hazard Model using Python and scikit-learn, with 3 regularization techniques, leading to the identification of 6 key genes as independent prognostic markers.
Validated results through statistical analysis (ROC curves, PCA, correlation heatmaps, network graphs, immune response analysis), improving model’s accuracy to 70%, providing insights for cancer prognosis.
Research Intern
Jun 2023 - Jul 2023 · 2 months
IISc, Bangalore
Dr. Mohit Kumar Jolly’s Lab, Department of Biological Sciences and Bioengineering (BSSE)
Research Focus: Investigated the stochastic dynamics of multipotent naïve CD4+ T cell differentiation, proposing a novel two-step differentiation process with insights in cancer biology.
Analyzed and compared 10 Bulk RNA-seq expression datasets against 4 curated signature gene sets, utilizing statistical techniques like Gene Set Enrichment Analysis (GSEA) and Principal Component Analysis (PCA), to generate statistically significant results with 95% confidence.
Contributed to the analysis of the Pan-Cancer TCGA dataset, applying Survival Cox Models and Kaplan-Meier analysis, NetworkX and cancer gene sets to uncover critical insights into patient survival and gene expression patterns.
Developed and optimized Python scripts using Matplotlib, Pandas, and other libraries to streamline the analysis of large-scale gene expression datasets, resulting in more efficient data processing and visualization.
Collaborated closely with 2 PhD candidates and 1 fellow research intern, leading weekly project updates and discussions. This teamwork approach led to the completion of 2 key projects within the internship, increasing project efficiency by 50%.
Research Project
Sep 2021 - Feb 2022 · 6 months
Shivaji College, University of Delhi, New Delhi
Dr. Renu Baweja’s Lab, Department of Biochemistry
Title: Effect of milk and mustard oil consumption: A case study on youth in Delhi-NCR. Published in SAGE journals.
Collected and compiled the survey data to analyze the trends of different lifestyle factors and correlated them with diseases and Hematological Parameters.
Utilized Microsoft Excel to identify key patterns and significant variables contributing to health deterioration.
Projects
Education
M.Sc. Computational Biology
Sep 2022 - Aug 2024 · 2 years
JNU, New Delhi
Achived the highest overall marks in my batch, with top scores in dissertation evaluation.
Collaborated on research with two PhD students from different departments, resulting in a paper currently under review.
CGPA: 7.54/9
Concentrations: Bioinformatics, Data Structures, Python, R, Statistics I & II, Calculus I & II, Machine Learning, Omics Sciences, Molecular Simulation, Linux.
B.Sc. (Hons) Biochemistry
Jul 2019 - Jul 2022 · 3 years
Shivaji College, University of Delhi, New Delhi
Editorial member for the 4th edition of the departmental magazine Biokemi. Edited research articles and the "Fun with Science" columns to ensure proper structure for publication.
Published an original article in Biokemi departmental magazine.
Concentrations: Genetics, Recombinant DNA, Immunology, Cell Culture, UV/Vis Spectroscopy, PCR, Blotting.
Publications
Duddu, A. S., Andreas, E., Harshavardhan, B., Grover, K., Singh, V. R., Hari, K., Jhunjhunwala, S., Cummins, B., Gedeon, T., & Jolly, M. K. (2024). Multistability and predominant double-positive states in a four node mutually repressive network: a case study of Th1/Th2/Th17/T-reg differentiation. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2024.01.30.575880
Acknowledged in:
Sharma, M., Vavilala, P., Singh, A., & Baweja, R. (2022). Effect of milk and mustard oil consumption: A case study on youth in Delhi-NCR. Nutrition and Health, 29(1), 25–29. https://doi.org/10.1177/02601060221116198
Honors and Awards
3rd Place | "Skills to Start-Up"
IISER Bhopal
IISER Bhopal
Issued by National level science entrepreneurship (Scipreneur) Competition, Innovation and Incubation Centre for Entrepreneurship (IICE).
Developed and presented an innovative business model addressing a scientific problem.
Collaborated with a team to compete against participants including PhD candidates.
Received prize money and a certificate for achieving 3rd place.
Hackathon | “Diabetes Solution”
Jul 2019 - Jul 2022 · 3 years
ISCB RSG India
Participated and received prize money in a hackathon focusing on identifying diabetes causing genes.
Collaborated with a team to analyze differentially expressed genes, construct a protein-protein interaction (PPI) network, and perform Gene Ontology (GO) enrichment and annotation for diabetes-related genes.
Volunteer Experience
Member
Apr 2023 - Apr 2024 · 1 yr 1 mo
ISCB RSG India
IISER Bhopal
RSG India is a branch of the International Society for Computational Biology Student Council (ISCB-SC), comprising over 2,000 students, faculty, industry professionals, and guest speakers across India.
Managed the RSG India YouTube account, including uploading webinar videos and designing channel banners, thumbnails and demonstrating strong communication and digital literacy skills.
Collaborated with a team to design over 10 promotional posters and flyers for various events, leading to a 30% increase in event attendance and showcasing creativity and teamwork.
Assisted in creating and distributing Google Forms and questionnaires to enhance audience engagement.
Anchor
19 - 20 Oct 2023 · 2 Days
JNU, New Delhi
Anchored at "Scientegration" 2023 4th Symposium. 2-Day Department Symposium of various PhD presentations and guest speakers.
Introduced Speakers, Faculty and Guests. Volunteered in Prize and certificate Distribution.
Anchor
18 - 20 Feb 2021 · 3 Days
Shivaji College, University of Delhi, New Delhi
Hosted interactive questionnaire sessions during a 3-day hands-on workshop on "Green Synthesis of Nanoparticles and their Biomedical Applications," organized by the Department of Biochemistry.
Facilitated discussions among 50+ participants, enhancing engagement and reinforcing key workshop concepts.
Test Scores
IELTS English Score:
GAT B ‘22:
GATE Biotechnology ‘22:
IIT Jam ‘22:
TIFR JGEEBILS ‘22: