Nitin Narwade
Sant Joan d'Alacant
Summary
Accomplished Bioinformatics Scientist with a proven track record at the Institute of Neuroscience, CSIC, leveraging machine learning and omics data analysis to decode complex biological phenomena. Skilled in Python and R and adept at translating research findings into actionable insights, demonstrating exceptional problem-solving and analytical capabilities.
Overview
9
9
years of professional experience
Work History
Post-Doctoral Research Fellow (Momentum CSIC)
Institute of Neuroscience
Alicante
09.2024 - Current
Investigating EMT-dependent (Epithelial-to-Mesenchymal Transition) breast cancer progression and the interaction of EMT-activated tumor cells with the tumor microenvironment (TME) through in situ image-based spatial transcriptomics and single-cell data analysis.
PhD in Neuroscience (Bioinformatics)
Institute of Neuroscience, CSIC (Marie Curie Research Fellow)
Alicante
05.2020 - 09.2024
Successfully defended my thesis where I extensively analyzed single cell Omics data using cutting-edge algorithms and advanced machine-learning techniques, to decipher the gene expression changes and their regulation along the spectrum of epithelial to mesenchymal spectrum during neural crest development, kidney fibrosis, and breast cancer progression (Youssef et. al., Nat Cancer. 2024)
Research Assistant (Bioinformatics)
Faculty of Health Sciences, University of Macau
Macau
03.2019 - 05.2020
Conducted integrated analyses of multi-omics data (ChIP-Seq, RNA-Seq, DNA-Seq, and proteomics) to identify novel cofactors of the Androgen Receptor (AR) in prostate cancer and the Estrogen Receptor (ER) in breast cancer. Evaluated the clinical significance of identified candidates using publicly available clinical cohorts, such as TCGA, to establish potential translational relevance (Hu et al., Oncogene. 2021; Cui et al., Int J Biol Sci. 2022; Chen et al., EMBO Rep. 2022).
Bioinformatics Technician
National Centre for Cell Science (NCCS)
Pune
12.2017 - 03.2019
- Developed a novel approach for functional prediction based on 16S rRNA amplicon sequencing data, leveraging core genes to significantly reduce false positives in predictions (Mongad et al., Genomics. 2021).
- Designed and implemented a webserver for predicting potential probiotic candidates by integrating genomic information (e.g., probiotic genes, virulence factors, and antimicrobial resistance genes) with supervised machine learning algorithms.
- Analyzed amplicon and metagenomic sequencing data from diverse sources to identify abundant microbiome populations and their correlations with various phenotypic parameters.
(Mongad et al., Genomics. 2021; Shaligram et al., Curr Microbiol. 2021; Auti et al., J Biosci. 2019; Jena et al., J Environ Manage. 2020)
Genomics Data Analyst and Software Developer
Bionivid Technology Pvt. Ltd. Banglore
Bangalore
05.2016 - 12.2017
- Performed extensive NGS data analysis, including ChIP-Seq, RNA-Seq, DNA-Seq (microbial whole-genome/metagenome assembly and variation analysis), Amplicon-Seq, and WGBS-Seq, to extract biologically meaningful insights.
- Developed a web application to automate data analysis pipelines, enhancing efficiency and reproducibility.
- Delivered teaching sessions on applied programming languages, such as Python, PERL, and R, as part of the Global Genome Informatics (GGI) Certification course, fostering skill development among participants.
Education
Ph.D. - Neuroscience (Bioinformatics)
Institute of Neuroscience (CSIC), Universidad Miguel Hernandez De Elche
Alicante, Spain09-2024
Master of Science - Bioinformatics
Savitribai Phule Pune University
Pune, India06-2016
Bachelor of Science - Bioinformatics
Swami Ramanand Teerth Marathwada University
Parbhani, India06-2014
Skills
- Omics Data Analysis
- github
- Machine Learning
- Perl
- Python
- Shell Scripting
- R
- Data Visualization
- Web Development
- Troubleshooting
- Advanced data analysis
- Bioinformatics analysis
Personal Information
- Date of Birth: 05/04/92
- Gender: Male
- Nationality: Indian
Languages
Hindi
First Language
English
Proficient (C2)
C2
Organisationalskills
- Actively participated in organizing an international conference on Neural Crest held by the NEUcrest-ITN program, Marsella, France in March 2024.
- Actively participated in organizing and teaching an advanced level single cell Omics data analysis course at the Institute of Neuroscience (CSIC), Universidad Miguel Hernandez (UMH) de Elche, Alicante, Spain in May 2024.
- Actively participated in organizing the International Conference on Microbiome Research (ICMR) held by the National Centre for Cell Science (NCCS), Pune, India in November 2018.
Publications
- Youssef KK, Narwade N, Arcas A, Marquez-Galera A, Jiménez-Castaño R, Lopez-Blau C, Fazilaty H, García-Gutierrez D, Cano A, Galcerán J, Moreno-Bueno G, Lopez-Atalaya JP, Nieto MA. Two distinct epithelial-to-mesenchymal transition programs control invasion and inflammation in segregated tumor cell populations. Nat Cancer. 2024
- Narwade N, Patel S, Alam A, Chattopadhyay S, Mittal S, Kulkarni A. Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise. Nucleic Acids Res. 2019
Google Scholar Profile for the complete publication record
https://scholar.google.com/citations?user=AtoNAS4AAAAJ&hl=en
Languages
Marathi, Hindi, English
Honoursandawards
- 2014, Topper of the batch in graduation, Swami Ramanand Teerth Marathwada University, University topper (Gold medalist) in Bioinformatics for the academic year 2011-2014.
- 2016, Awarded by 'Department of Biotechnology' fellowship during Masters, Bioinformatics Center, Savitribai Phule Pune University, Pune
- Secured the first prize for the poster presentation in C-DAC 2018 symposium, C-DAC, Pune University Campus, Pune,
- 2020, Marie Skłodowska Curie Early Stage Researcher (NEUcrest ITN) fellowship, ITN European Union program
Recommendations
- Prof. Angela Nieto, Full Professor, Institute of Neuroscience (CSIC), Universidad Miguel Hernandez de Elche, Alicante, 03550, Spain, anieto@umh.es
- Prof. Edwin Cheung, Full Professor, Faculty of Health Sciences (FHS), University of Macau, Taipa, Macau, ECheung@um.edu.mo
- Dr. Dhiraj Dhotre, Scientist D, National Centre for Cell Science, Pune, Maharashtra, 411007, India, dhiraj.dhotre@nccs.res.in
Timeline
Post-Doctoral Research Fellow (Momentum CSIC)
Institute of Neuroscience
09.2024 - Current
PhD in Neuroscience (Bioinformatics)
Institute of Neuroscience, CSIC (Marie Curie Research Fellow)
05.2020 - 09.2024
Research Assistant (Bioinformatics)
Faculty of Health Sciences, University of Macau
03.2019 - 05.2020
Bioinformatics Technician
National Centre for Cell Science (NCCS)
12.2017 - 03.2019
Genomics Data Analyst and Software Developer
Bionivid Technology Pvt. Ltd. Banglore
05.2016 - 12.2017
Ph.D. - Neuroscience (Bioinformatics)
Institute of Neuroscience (CSIC), Universidad Miguel Hernandez De Elche
Master of Science - Bioinformatics
Savitribai Phule Pune University
Bachelor of Science - Bioinformatics
Swami Ramanand Teerth Marathwada University
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