Welcome to my page! I'm a computational scientist at ValtedSeq. Please make yourself at home and do look around.
About Me
I am a computational scientist at ValtedSeq where I apply computational and statistical methods to single-cell RNA-seq data in order to discover new immunotherapies for challenging neurodegenerative diseases.
Previously
I received my Ph.D. in from the Georgia Tech in 2021. In my academic life, I researched and developed new computational and statistical methods for processing, interpreting and understanding the large and heterogeneous biomedical datasets focussed on Malaria and other infectious diseases. I applied and developed novel Bioinformatics and Machine Learning driven solutions for various biological questions in order to address outstanding questions in cell biology, human health, and disease. I did my MS from Georgia Tech in Bioinformatics and my Bachelors from the Indian Institute of Technology, Kanpur in Biological Sciences and Bioengineering. I have worked with esteemed groups at Roche, Philips Healthcare, CDC and ABiL to use quantitative data and ML driven approaches to solve various biological problems.
Publications
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Dynamic Control Balancing Cell Proliferation and Inflammation is Crucial for an Effective Immune Response to Malaria.
Gupta, A., Galinski MR, Voit EO.
Frontiers in Molecular Biosciences 2022
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Dramatic Transcriptomic Differences in Macaca mulatta and M. fascicularis with Plasmodium knowlesi Infections.
Gupta, A., Styczynski MP, the MaHPIC consortium, Galinski MR, Voit EO, Fonseca LL.
Nature Scientific Reports 2021
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stringMLST: a fast k-mer based tool for multilocus sequence typing.
Gupta, A., King Jordan, Lavanya Rishishwar.
Bioinformatics 2017 (Citations: 50)
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Metabolic Modeling Helps Interpret Transcriptomic changes during a Complex Disease.
Gupta, A., Tang Y, Garimalla S, the MaHPIC consortium, Galinski MR, Styczynski MP, Fonseca LL, Voit EO. Elsevier/BBA molecular basis of disease 2018
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The Three-Legged Stool of Understanding Metabolism: Integrating Metabolomics with Biochemical Genetics and Computational Modeling.
Downs DM, Bazurto JV, Gupta A, Fonseca LL, Voit EO. AIMS microbiology 2018
Presentations
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Model-based inferences of disease-related phenotypical alterations from changes in gene expression
Gupta, A., Fonseca LL, Voit EO.
Paper presented at ICMSB 2017, Raitenhaslach, Germany
Select Projects
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Multi-omics comparison between susceptibility and resilience against Plasmodium pathogen
Developed quantitative methodologies and designed comparative multi-omics analysis to understand immune response differentiating suseptibility and resilience in Malaria infection
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Microbiome characterization and modelling using metagenomics data for IBD treatment
Built data driven ML approach to predict changes in gut microbiome.
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Development of bacterial typing tool for fast and accurate predictions
Designed and implemented a novel bacterial classification algorithm for CDC.
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Interactive Visualization for HIV/AIDS
An interactive visualization designed in d3/js to investigate and explore HIV/AIDS data for various countries over time. More information at www.prism.gatech.edu/~agupta399/InfoViz-Project/
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Sentiment analysis and interactive visualization for Google Play store reviews
An interactive visualization to gain insights into reviews obtained from Google Play Store.
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Development of contact tracing tool for nosocomial infection
Developed tool to track infection spread in a hospital environment using maximum likelihood model.
Click to view Resume
Activities & Interests
I am an amateur car mechanic and hot rod enthusiast. I also enjoy trading and use my ML knowledge to create customised trading strategies. Additionally, I love swimming, skating, playing squash, traveling, going to beer fests, cooking, enjoying outdoor activities and dissecting gadgets. These days I have been playing with cryptocurrency as well.
Contact
ag.anuj1991 [at] gmail [dot] com
Mailing
Room No. 2241
Engineered Biosystems Building (EBB)
Georgia Institute of Technology
50 Atlantic Drive
Atlanta, Georgia 30332