Susmitha Shankar, Ph.D. Email & Phone Number
Who is Susmitha Shankar, Ph.D.? Overview
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Susmitha Shankar, Ph.D. is listed as Data science and AI expert | Biomathematics, Bioinformatics, Computational Biology | innovative data visualization at Peter MacCallum Cancer Centre, a with 1758 employees, based in Burwood East, Victoria, Australia. AeroLeads shows a matched LinkedIn profile for Susmitha Shankar, Ph.D..
Susmitha Shankar, Ph.D. previously worked as Bioinformatician at Peter Maccallum Cancer Centre and Doctoral Fellow at Institute Of Molecular Biology (Imb). Susmitha Shankar, Ph.D. holds Doctor Of Philosophy - Phd, Biomathematics, Bioinformatics, And Computational Biology, 1.0 from Johannes Gutenberg University Mainz.
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About Susmitha Shankar, Ph.D.
I am a highly skilled data analyst with a focus on developing and integrating statistical models and explainable deep-learning models to address scientific research problems. My expertise lies in creating end-to-end pipelines for managing large biological datasets and utilizing various computational techniques to extract valuable knowledge before optimizing these methods. My research interests include building solutions for multi-omics, pharmacogenomics, computational drug discovery, and drug repurposing.My experience in computer science and biology has allowed me to address these difficulties from a multidisciplinary standpoint. Working in both computational and experimental settings allowed me to translate and structure goals for scientists with wet and dry lab training.
Listed skills include Sql, Management, Microsoft Office, Project Management, and 6 others.
Susmitha Shankar, Ph.D.'s current company
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Susmitha Shankar, Ph.D. work experience
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Doctoral Fellow
➨Developing end-to-end pipeline for annotating, preprocessing, managing and effectively storing multi-omic large biological data from various sequencing techniques from yeast and human cell lines.➨Deciphering the factors affecting the localization of transmembrane proteins using statistical analysis and effective visualization➨Inferring sequence and biophysical properties that help in C terminal and N terminal-based protein degradation using deep learning and natural language processing (NLP) model and their optimization.
Junior Research Fellow
Project Title: Drug Repurposing Hyper-layer Scalable Multi-Paradigm Drug Repurposing WorkbenchFunded By: Department of Biotechnology, Ministry of Science & Technology, Government of IndiaAdvisor: Dr. Prashanth Athri➨Use of efficient machine learning and statistical approaches for critical analysis of the use of genomic and transcriptomic data from sources such as LINCS L1000 project in drug repurposing➨Detailed understanding of various therapeutic effects of small-molecular drugs and their prediction using various machine learning and network-based models➨Theoretical understanding of NGS Sequencing technology and hands-on experience working on various hypothesis generation on X-omics data➨Involved study of various chemical and molecular fingerprints
Research Assistant
Funded By: Amrita Center for Research and DevelopmentAdvisor: Dr. Prashanth Athri➨Exploration of various statistical techniques, database integration and working knowledge of genomics – in analysis of RNA-seq data, drug databases as well as protein-protein interaction databases
Colleagues at Peter MacCallum Cancer Centre
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Rhonda Lawrence
Colleague at Peter Maccallum Cancer CentreBendigo, Victoria, Australia
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Cathy Durkin
Colleague at Peter Maccallum Cancer CentreGreater Melbourne Area, Australia
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Ian Campbell
Colleague at Peter Maccallum Cancer CentreGreater Melbourne Area, Australia
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Kate Shanahan
Colleague at Peter Maccallum Cancer CentreMelbourne, Victoria, Australia
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Therease Jansen
Colleague at Peter Maccallum Cancer CentreGreater Melbourne Area, Australia
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Liam Beecroft
Colleague at Peter Maccallum Cancer CentreCremorne, Victoria, Australia
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Kavindya Mihirangi
Colleague at Peter Maccallum Cancer CentreAustralia
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Becky Castle
Colleague at Peter Maccallum Cancer CentreMelbourne, Victoria, Australia
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Ellie Hevey
Colleague at Peter Maccallum Cancer CentreAustralia
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Robert Anderson-Hunt
Colleague at Peter Maccallum Cancer CentreBrunswick East, Victoria, Australia
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Susmitha Shankar, Ph.D. education
Doctor Of Philosophy - Phd, Biomathematics, Bioinformatics, And Computational Biology, 1.0
Master Of Technology - Mtech, Computer Science, 9.01/10
Bachelor Of Technology - Btech, Computer Science And Engineering, 8.55/10
Education record
Frequently asked questions about Susmitha Shankar, Ph.D.
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What company does Susmitha Shankar, Ph.D. work for?
Susmitha Shankar, Ph.D. works for Peter MacCallum Cancer Centre.
What is Susmitha Shankar, Ph.D.'s role at Peter MacCallum Cancer Centre?
Susmitha Shankar, Ph.D. is listed as Data science and AI expert | Biomathematics, Bioinformatics, Computational Biology | innovative data visualization at Peter MacCallum Cancer Centre.
Where is Susmitha Shankar, Ph.D. based?
Susmitha Shankar, Ph.D. is based in Burwood East, Victoria, Australia while working with Peter MacCallum Cancer Centre.
What companies has Susmitha Shankar, Ph.D. worked for?
Susmitha Shankar, Ph.D. has worked for Peter Maccallum Cancer Centre, Institute Of Molecular Biology (Imb), and Amrita Vishwa Vidyapeetham.
Who are Susmitha Shankar, Ph.D.'s colleagues at Peter MacCallum Cancer Centre?
Susmitha Shankar, Ph.D.'s colleagues at Peter MacCallum Cancer Centre include Rhonda Lawrence, Cathy Durkin, Ian Campbell, Kate Shanahan, and Therease Jansen.
How can I contact Susmitha Shankar, Ph.D.?
You can use AeroLeads to view verified contact signals for Susmitha Shankar, Ph.D. at Peter MacCallum Cancer Centre, including work email, phone, and LinkedIn data when available.
What schools did Susmitha Shankar, Ph.D. attend?
Susmitha Shankar, Ph.D. holds Doctor Of Philosophy - Phd, Biomathematics, Bioinformatics, And Computational Biology, 1.0 from Johannes Gutenberg University Mainz.
What skills is Susmitha Shankar, Ph.D. known for?
Susmitha Shankar, Ph.D. is listed with skills including Sql, Management, Microsoft Office, Project Management, Python, Java, C++, and C.
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