Arun Narayanankutty
Research Scientist at SKAN Medical Research Trust
Bengaluru, Karnataka, India
Summary
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Top SchoolArun Narayanankutty is a research scientist with 11 years of interdisciplinary experience at the intersection of respiratory immunology, molecular diagnostics, and bioinformatics, currently based in Bengaluru. He has led HLA and genetic association studies on aspirin-exacerbated respiratory disease and guided NGS-based molecular diagnostic workflows, while also contributing hands-on to data visualization tools and UI improvements in open-source projects like Clementine. His work spans wet-lab techniques (PCR, sequencing, TraDIS Xpress) and computational analyses including biostatistics and miRNA profiling, enabling translational insights into severe non-IgE asthma. Known for merging meticulous experimental design with pragmatic software-driven solutions, he mentors teams and shapes lab-to-clinic strategies. An unexpected thread in his profile is a knack for front-end theming and UX polish, reflecting a rare blend of bench science and user-facing developer skills.
11 years of coding experience
5 years of employment as a software developer
BSc, Biotechnology, BSc, Biotechnology at Bharathiar UniversityThe National Polytechnic Institute of MexicoMSc, Nanobiotechnology, MSc, Nanobiotechnology at Manonmaniam Sundaranar University
English, Malayalam, Tamil, Hindi
Github Skills (13)
customizer10
c-language10
custom-theme10
cprogramming-language10
ui-design10
qt10
customisation10
cplus9
cpp9
music8
windows7
macos7
linux7
Programming languages (2)
Github contributions (5)
clementine-player/Clementine
Apr 2015 - Feb 2016
:tangerine: Clementine Music Player
Role in this project:
UI Designer / Front-end Developer
UI Designer / Front-end DeveloperContributions:43 commits, 36 PRs, 173 comments in 9 months
Contributions summary:Arun primarily focused on enhancing the user interface of the Clementine Music Player. Their commits demonstrate a strong emphasis on theming and visual improvements, addressing hard-coded elements and making the UI more customizable. The contributions include modifications to the library view, volume slider, and various UI elements, ensuring the text colors match the general text color and enhancing the visual presentation. They also updated icons, added animation to tree views, and refined the overall look of the application.
windowsclementinelinuxc-plus-plustangerine
narunlifescience/AlphaPlot
Feb 2016 - Sep 2022
:chart_with_upwards_trend: Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
Contributions:5 releases, 5 reviews, 470 commits in 6 years 8 months
pythonpeak-fittingplottingscientific-visualizationplots
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