Commonwealth Scholar, University of Cambridge | Marie Curie Experienced Fellow, EU | Sigrid Juselius Fellow, Finland | DAAD Stibet Fellow, Germany | Pratt Fellow, USA | E-Yuva Post-PhD Innovation Fellow, BIRAC | EPSCoR Fellow, USA | 30% Rule Fellow. Netherlands |
BIOGRAPHY:
Prof. Dr. Abhishek Narain Singh is a distinguished academic and researcher with a diverse and global background in machine learning, bioinformatics, supercomputing, and biomedical sciences. His doctoral research work focused on cutting-edge applications of machine learning, graph theory, statistics, and supercomputing for bioinformatics at the A.I. Virtanen Institute for Molecular Sciences in Finland. He submitted his PhD in Big Data and Multi-Omics to the Faculty of Mathematics and Informatics, Leipzig University, Germany.
As a Commonwealth Scholar, he pursued part of his doctoral studies at the University of Cambridge, UK, earning a Certificate of Diligent Study. He was also an NSF National Science Foundation Established Program to Stimulate Competitive Research (EPSCoR) Doctoral GRA Scholar at Mississippi State University, USA, with a focus on Bioinformatics and Chemical Engineering.
Prof. Singh's postdoctoral work is equally impressive, with multiple positions across world-renowned institutions:
Human Genetics at The Hospital for Sick Children (SickKids) and the University of Toronto, Canada
Machine Learning for Disease Prediction at the University of Eastern Finland
Faculty of Medicine, Bar-Ilan University, Israel
As a Marie Curie Experienced Researcher at both Martin Luther University in Germany and Mosaiques Diagnostics in Hanover
Scientific programmer at University Medical Centre Groningen, Netherlands
He is an active peer reviewer for leading journals, including Oxford University Press’s Bioinformatics Advances.
Currently, Prof. Singh serves as a Professor at The Global American University Schiller in Heidelberg, Germany, where he is involved in joint academic programs with the University of Roehampton, London. His teaching portfolio spans undergraduate to postgraduate programs, reflecting his versatility and commitment to education. He has also served on the faculty at Virginia Tech (Computer Science, Research Track) and University of Virginia School of Medicine, USA.
His academic journey includes:
MS in Computer Science/Mathematics from the University of Vienna
MS in Computer Science, Statistics, and Biomedical Sciences from the University of Eastern Finland
MBA from HHL Leipzig Graduate School of Management (Cologne/Leipzig), with executive modules at Harvard Business School, MIT Sloan, and Boston University
Master’s in Management from KEDGE Business School, France (Paris, Bordeaux, Marseille), with a specialization in Finance and Global Executive MBA credits
Prof. Singh earned his B.Tech in Computer Science & Mathematics, Chemical Engineering, and Biotechnology, followed by an M.Tech in Biochemical Engineering & Biotechnology from IIT Delhi.
Throughout his career, he has published extensively, contributing research articles, books, and patents. He is also a BIRAC E-Yuva Post-PhD Innovation Fellow, recognized for his contributions to translational research and innovation.
He has received prestigious scholarships and fellowships from institutions such as:
Los Alamos National Laboratory, USA
IBM Austin Research Lab, USA
Genome Sciences Centre, Vancouver, Canada
International Centre for Genetic Engineering & Biotechnology, New Delhi, India
Prof. Singh is a global academic leader, educator, and researcher whose work spans continents and disciplines, making impactful contributions across science, technology, and education. He was also the batch topper in MBA (course work), Post Graduate Certificate in Business Analytics (PGCBA) from insAnalytics / NIIT, Post Graduate Certificate in AI & Machine Learning (PGCAIML) with Python (Analytics Edupoint).
Prof. Dr. Abhishek Narain Singh is involved in a diverse range of research activities primarily focused on bioinformatics, computational biology, and personalized medicine. Below is a summary of his significant contributions based on his published papers, theses, and patents:
Bioinformatics and Computational Biology:
Development of tools and pipelines for analyzing genomic data, including RNA-Seq and whole-genome sequencing. His work emphasizes the statistical methodologies necessary for interpreting large datasets, particularly in oncology and other disease contexts.
Notable publications include the creation of an RNA-Seq statistical pipeline to investigate differential gene expression in breast cancer and the design of the FastMSECT algorithm for scalable sequence comparison.
Machine Learning and Big Data:
Dr. Singh has been at the forefront of integrating machine learning with bioinformatics to further explore genomic pathways and facilitate drug repositioning.
His PhD thesis on machine learning supercomputing addresses applying sophisticated algorithms and computing power to extract insights from biological data.
Personalized Medicine:
His research includes identifying genetic markers for personalized genomic medicine, with specific focus on structural variants and single nucleotide polymorphisms (SNPs) related to diseases such as sarcopenia and age-related macular degeneration (AMD).
He has developed and presented integrated applications like GenomeKlinic, which aims to personalize treatment strategies through precision omics.
Statistical Modeling in Finance and Bioinformatics:
Singh has explored financial modeling using bioinformatics approaches, as seen in his publication on trinomial risk appetite and real options valuation, showing interdisciplinary applications of his work.
Innovative Software Development:
His contributions include tools like the 'SasCsvToolkit' for big data analytics, and GMSECT, a genome-wide sequence comparison tool, emphasizing practical solutions for high-throughput data analysis.
Patents and Applications:
Dr. Singh has applied for several patents, focusing on methodologies for enhancing enzyme activity and advancing bioreactor technologies for biodiesel production. His patents represent a commitment to translating scientific findings into practical applications.
Dissemination and Collaboration:
He has shared his knowledge through numerous conference presentations, workshops, and publications in reputable journals, contributing significantly to the field's advancement and promoting collaborative research efforts.
Oncological Bioinformatics: Exploring cancer pathways via RNA-Seq.
Machine Learning and Supercomputing: Thesis focusing on advanced statistical methods in bioinformatics.
Genetic Insights into Sarcopenia: Identification of candidate genes influencing muscle mass and handgrip strength.
Structural Variants: Analysis of their impact on phenotypes and their potential in intrinsic medicine.
Prof. Dr. Singh's research embodies a multidisciplinary approach, integrating bioinformatics, machine learning, and personalized medicine to address complex biological questions and improve health outcomes. His innovative tools, methodologies, and publications continue to contribute significantly to the advancement in these interconnected fields.
Faculty / Teaching / Research Engagement
Professor, Schiller International University (USA), Heidelberg, Germany
(Affiliate Program with, University of Roehampton, London, UK)
Faculty- Research Scientist, School of Medicine, University of Virginia, USA
Faculty (Adjunct), Computer Science, Virginia Tech, USA
Faculty H.O.D of Engineering, also taught Paramedics & Management, IPSR, New Delhi, India
Faculty (Physics & Chemistry, PACE, New Delhi, India), Faculty HOD (Chemistry, Pie Education, New Delhi, India), Faculty Chemistry MIITJEE Jamshedpur, Faculty of Maths and Physics at MIST Plus Jamshedpur
Post Doctoral Work /Experienced Researcher
Post-PhD Innovation Fellow, BIRAC E-Yuva Centre, Bhopal, Madhya Pradesh, India
Biomedical Informatics Scientist (Post Doc), UEF, Finland
Genetics Musculoskeletal diseases, Bar Ilan University, Israel
Marie Curie Exp Researcher, Martin Luther Univ, Germany
Marie Curie Exp Researcher, Mosaiques Diagnostics, Germany
Scientific Programmer, University of Groningen, Netherlands
Doctoral Internship, Chemical & Materials Engg., Newcastle Univ, UK
PostDoc Human Genetics, Univ of Toronto, Canada
Doctoral Education
PhD at Department of Biotechnology, Faculty of Research (Defended) - Machine Learning Supercomputing Statistics in Bioinformatics, SunRise Univ, Raj, India, Work at A.I. Virtanen Institute for Molecular Sciences, Finland
PhD at Department of Computer Science, Faculty of Mathematics & Informatics (Full Submission) - Big Data MultiOmics, University of Leipzig, Germany
PhD at Division of Basic Sciences, College of Veterinary Medicine (Submission) - RNA-Seq technology & R. glutinis, Mississippi State Univ, USA
PhD at Department of Plant Sciences, Faculty of Biological Sciences (Submission) - Certificate of Diligent Study, Metabolic Pathway Engineering, Homerton College, University of Cambridge, UK
PhD at Department of Biochemistry, Faculty of Biological Sciences (Enrollment) - Systems Biology of PPAR Receptor, Trinity Hall College, University of Cambridge, UK
Management & Business Education
MBA Finance/General Management, Thesis Chair - M&A, Handelshochshule HHL, Leipzig Graduate School of Management, Germany, program partnered with MIT/Harvard Business School/Boston University, USA
MS (Erasmus) / PGCDS, Management and Finance, Kedge Business School, France
Global Executive MBA Modules, Kedge Business School, France
Master's Technical Education
MS Major1: Computer Science, Major2: Biomedicine, Major3: Statistics, UEF, Finland
MS (Erasmus+), 1. Mathematics & Computer Science /Systems Biology; 2. Finance & Economics, Univ. of Vienna, Austria
M.Tech, BioChemical Engg & Biotechnology, IIT Delhi, India
Post Graduate Education
PGAIML Postgraduate in Artificial Intelligence & Machine Learning, Analytics EduPoint, India
PGCBA Post Graduate Certificate in Business Analytics (insAnalytics/NIIT, India)
Undergraduate Education
B.Tech, Major1- Computer Science & Mathematics, Major2- Chemical Engineering, Major3 - Biotechnology, IIT Delhi, India
B.E. Freshman, Electrical Engineering, DTU / DCE, Delhi, India
B.S. Cell Biology, Univ. of New Mexico, USA
Expertise: Business, AI/ML, Big Data, Biomedical Informatics, Bioinformatics, High Performance Computing, Parallel BioComputing, Grid & Cloud computing, Metabolic Pathway Engineering, Bioreactor Design, Derivatives, M&A, Biofuel, Biopharmaceuticals & Nutraceuticals
Audit Lectures
Business Intelligence, Strategy, Pattern Match, Information Systems (University of Groningen, The Netherlands), Advance Parallel Computing (Virginia Tech, USA), Plant Development (University of Toronto, Canada), Artificial Intelligence (MSU, USA)
TEACHING PORTFOLIO:
1. Operations Research & Game Theory (MBA)
2. Physics for Engineers & IITJEE/NEET Aspirants
3. Physical Chemistry for IITJEE/NEET Aspirants
4. Mathematics for IITJEE/NEET Beginners
5. Genetics & Bioinformatics (IPSR, Delhi, India)
6. High Performance Computing (Computer Science)
7. Management of Networks (MBA / Schiller International Univ, Germany)
8. Project Management (MBA, Schiller International Univ, Germany)
10. Entrepreneurship & Enterprise (BBA, Schiller International Univ, Germany)
11. Management of Information Systems (MBA, Schiller International Univ. Germany)
12. Information Technology Application in Business (MBA, Schiller International Univ, Germany)
13. Fundamentals of Computational Biology & Bioinformatics (MSc Biotechnology, Career College, Bhopal, Madhya Pradesh, India)
14. Fundamentals of Big Data and Artificial Intelligence (BBA, Schiller International University, Germany)
Prof. Dr. Singh has international working experience in several reputed organization around the world, such as:
INSERM, France [Scientific Lab]
Theoretical Biology Group, Los Alamos National Labs, Los Alamos, USA [Scientific Lab]
Department of Electrical & Computer Engineering, UNM, Albuquerque, USA, in partnership with IBM Austin [ Technology Lab ]
The Centre for Applied Genomics, SickKids, Toronto, Canada [ Hospital Scientific Lab]
Department of Genetics, UMCG, Groningen, The Netherlands [Hospital Scientific Lab]
Mosaiques-Diagnostics, Hannover, Germany [Hospital Scientific Lab]
Virology and Bioinformatics Groups, ICGEB, New Delhi, India [Scientific Lab]
School of Life Sciences, JNU, Delhi [Scientific Lab]
Department of Chemical Engineering & Advanced Materials, Newcastle University, Newcastle Upon Tyne, UK [Technology Lab]
Faculty of Biology, University of Cambridge, Cambridge, UK [Scientific Lab]
Department of Computer Science, Synergy Lab, Virginia Tech, Blacksburg, USA [Technology Lab]
Granta Design, Cambridge, UK [Company]
Genome Sciences Center , Vancouver, Canada [Scientific Lab]
College of Veterinary Medicine, Mississippi State University, Starkville, USA [Hospital Scientific Lab]
Department of Psychiatry, Universityklinikum Halle, Martin Luther University, Germany [Hospital Scientific Lab]
Centre for Advanced Vision Science, School of Medicine, University of Virginia, USA [Hospital Scientific Lab]
Department of Computer Science, Faculty of Mathematics & Informatics, University of Leipzig, Germany [Technology Lab]
Schiller International University, Heidelberg, Germany [Academics]
PACE IIT & Medical, Delhi[Academics]
IPSR, Delhi [Academics]
BIRAC E-Yuva Centre, Bhopal, India [Business Incubation]