Chief Scientific Officer
CurrentOwn and Lead Research on Clinical Imaging Analysis (Breast Cancer, Lungs, Covid, Prostate), Cancer Genomics, AI driven genomics workflows development
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Dr. Devika Rubi (Devika) is listed as Co-founder, CSO #AI #genomics #femtech #womenshealth #breastcancer #imagingAI #biomath #drugdiscovery at Digital Clinics Research and Services Pvt Ltd, based in Hyderabad, Telangana, India. AeroLeads shows phone signal with area code 470 and a matched LinkedIn profile for Dr. Devika Rubi (Devika).
Dr. Devika Rubi (Devika) previously worked as Chief Scientific Officer at Digital Clinics Research And Services Pvt Ltd and Research Associate Professor at Keshav Memorial Institute Of Technology. Dr. Devika Rubi (Devika) holds Doctor Of Philosophy (Phd), Computer Science (Genomic Data Science, Biostatistics, Computational Biology) from Bharathiar University.
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Research Fellow – Machine Learning, Computer Vision of Digital Pathology Imaging, using OpenCV, Python, Quantitative Features’ (Texture Features) Extraction Currently Research and Development of Digital Biomedical imaging solution, with AI driven clinical diagnostic pipeline for Cancer disease 5+ years’ experience as Asst. Professor in Computer Science and Bioinformatics, include Instructional activities, lecture for UG/Graduate Level courses at Indian University College in Computer Science, Bioinformatics and Mathematics 2+ years in Bioinformatics Industry as a Project Leader, Design and Coding for various Genomic modules to identify e-PCR (Electronic-polymerase chain reaction), ORF-Finder (Open Reading Frame Finder), Introns and Extron and simultaneous conversion to proteins, STS (Sequence Tagged Sites), EST, Motif, AT-rich, GC-rich sites, PSI Blast in Java and C++7+ years in Data analysis algorithms development, Mathematical modeling of Data, using Heuristic (Dynamic Programming, Edit Distances Methodologies) and Statistical (Hidden Markov Modelling (HMM), Probabilistic Modelling, Prediction, Maximum Likelihood methods) using “R” and Java PhD (Computer Science) –Mathematical modelling of Data, Optimized Data Mining algorithms development, to identify MLCS (Longest Common Subsequence, a NP-Hard problem in Biological Sequences Analysis) whose application is in detecting Biological sequence similarityResearch citations by international researchers to my MLCS algorithm show that it can be used for PLC (Industrial Automation), Substring parsing, Software Testing, Pattern Matching, Protein Sequence Alignment and Web video duplicates removal, Spatial Informatics-RSS based Fingerprinting location system in GSM, Optimized Parallel algorithm using openMP for Multi-Core ArchitecturesSubmitted research proposals to NIH, USA, a cloud technology system, performing whole-genome sequence data analysis; aiming to generate existing and also predicting all possible human cancer DNA binding sites (DBS), Transcription Factors (TFs)**** Published a book titled "A Guide to Design and Analysis of Algorithms"
Listed skills include Algorithms, Data Structures, C++, Linux, and 14 others.
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Hyderabad, Telangana, India
Own and Lead Research on Clinical Imaging Analysis (Breast Cancer, Lungs, Covid, Prostate), Cancer Genomics, AI driven genomics workflows development
Hyderabad, Telangana, India
Research Professor Biomedical Imaging Informatics
Atlanta, Georgia, United States
Biomedical Imaging, Genomics Research Fellow
Coimbatore Area, India
5+ years of Genomics Data Science research experience involving DNA sequence analysis, algorithms development, using Heuristic (Dynamic Programming, Edit Distances Methodologies) and Statistical (Hidden Markov Methods, Probabilistic Modelling, Prediction, Maximum Likelihood methods) using “R”, C++, Java and MySQLResearch citations by international.
Trichy, Tamil Nadu
Teaching Undergraduate and Graduate Level courses at University College in Mathematics, Computer Science and Mathematical Statistics at Chennai, India
Activities and Societies: Genomics Data Science research experience involving DNA sequence analysis, Pattern Mining algorithms.
Activities and Societies: Few Postgraduate Papers M.S. in Computer Science, Few courses in AI, Data Structures & Algorithms
M.Phil. Research Scholar. • Undertaken a Thesis titled “An Application of Number Theory in Cryptography”. • Responsible for Implementation.
M.Sc. Mathematics and Computer Applications
Ph.D. Computer Science With Research Interests in Biological Gene Sequence Comparison (especially Cancer & Type-1 Diabetes, Coding &.
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Dr. Devika Rubi (Devika) works for Digital Clinics Research and Services Pvt Ltd.
Dr. Devika Rubi (Devika) is listed as Co-founder, CSO #AI #genomics #femtech #womenshealth #breastcancer #imagingAI #biomath #drugdiscovery at Digital Clinics Research and Services Pvt Ltd.
AeroLeads has found 1 phone signal(s) with area code 470 for Dr. Devika Rubi (Devika) at Digital Clinics Research and Services Pvt Ltd.
Dr. Devika Rubi (Devika) is based in Hyderabad, Telangana, India while working with Digital Clinics Research and Services Pvt Ltd.
Dr. Devika Rubi (Devika) has worked for Digital Clinics Research And Services Pvt Ltd, Keshav Memorial Institute Of Technology, Emory University, Bharathiar University, and Bishop Heber College.
You can use AeroLeads to view verified contact signals for Dr. Devika Rubi (Devika) at Digital Clinics Research and Services Pvt Ltd, including work email, phone, and LinkedIn data when available.
Dr. Devika Rubi (Devika) holds Doctor Of Philosophy (Phd), Computer Science (Genomic Data Science, Biostatistics, Computational Biology) from Bharathiar University.
Dr. Devika Rubi (Devika) is listed with skills including Algorithms, Data Structures, C++, Linux, Statistics, Bioinformatics, Data Mining, and Systems Biology.
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