Dr. Anamya Ajjolli Nagaraja
Angestellt, Postdoctoral Researcher, The Janssen Pharmaceutical Companies of Johnson & Johnson
Antwerp, Belgien
Werdegang
Berufserfahrung von Anamya Ajjolli Nagaraja
Bis heute 1 Jahr und 8 Monate, seit Okt. 2022
Postdoctoral Researcher
The Janssen Pharmaceutical Companies of Johnson & Johnson
1 Jahr, Nov. 2020 - Okt. 2021
Data Manager / Bioinformatican
Centre Hospitalier Universitaire de La Réunion
Biomedical data Manager, Project RUN AI: Development of deep learning algorithm to predict the biology of the ICU patients. Skills: SQL, PYTHON, Tensorflow, Deep learning, Image processing
3 Jahre und 5 Monate, Jan. 2017 - Mai 2020
PhD Student
Université de la Réunion
Ph.D. in Bioinformatics | Thesis Title: Modeling of metabolic pathways for biomolecule production in cell-free systems. Skills Acquired: *Artificial neural network, *Machine learning, *Modelling of the pathway, *Data management & Visualisation, *R-programming, *python-programming, *Analysis pipe-line development, *Scientific publication & communication, *French language, *Collaboration, *Entrepreneurial training, *Public speaking
1 Jahr und 6 Monate, Juli 2015 - Dez. 2016
Research Assistant
National Centre for Biological Sciences
Project title: Protein-protein interface conservation in distant homologs Skills Acquired: *Protein Structural biology, *Data management, *Python, *Pymol, *Scientific communication
Ausbildung von Anamya Ajjolli Nagaraja
3 Jahre und 5 Monate, Jan. 2017 - Mai 2020
PhD in Bioinformatics
Université de la Réunion
Thesis Title: Modelling of synthesis of the biomolecule of interest using the local biomass. Skills: *Machine learning, *Modelling of biological pathways, *Data Acess and management, *Publications & Communication, * English for research, *French as Foreign Language, *Project management, *Time management
1 Jahr und 11 Monate, Aug. 2013 - Juni 2015
Bioinformatics and Applied Biotechology
Institute of Bioinformatics and Applied Biotechnology (IBAB)
Projects: * Data analysis of RNS-Seq in prostate cancer: Analyse the RNA-Seq data to find out the differentially expressed genes and long non-coding RNA and to correlate with ChIP-Seq data from the prostate cancer data sets. * Experimental validation of QSOX-1, n407442, and ABCC4, PCAT-92 in prostate cancer cell lines. * Fermentation of tyrosinase: Isolation, screening of tyrosinase-producing bacteria, and mass production of tyrosinase.
Sprachen
Englisch
Fließend
Französisch
Grundlagen
Kannada
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Hindi
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