Photo of Priyank Shukla

Priyank Shukla

Dr

  • Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 105 Citations
  • 5 h-Index
20102019
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Personal profile

Biography

Dr Priyank Shukla was appointed to his current post as a Lecturer in Stratified Medicine (Bioinformatics) at Ulster University in July 2016 and is a member of the Northern Ireland Centre for Stratified Medicine research group.

Dr Shukla earned his BSc in Biotechnology (2001-2004) from Bareilly College (MJPR University, Bareilly, India) and MSc in Bioinformatics (2004-2006) from University Institute of Engineering & Technology (CSJM University, Kanpur, India). He then joined Laboratory of Genomics at Department of Histology Embryology and Applied Biology, University of Bologna for three months as a Visiting Researcher to co-work on a bioinformatics project aimed to full parsing of Genbank database.

He completed a PhD in Computer Science (area of research: Machine Learning and Bioinformatics) at Bologna Biocomputing Group under the supervision of Professor Rita Casadio, where he developed Machine Learning based methods for prediction of disulphide bonding states of cysteine residues in proteins.

Dr Shukla undertook a Postdoctoral Scientist (Bioinformatics) position at Department of Biomedical Sciences, University of Veterinary Medicine, Vienna, Austria (2010-2016), where he was responsible for consulting, data analysis and data management of Next Generation Sequencing (NGS) based projects of Jak-Stat Signalling Consortium. His research focused on applying NGS approaches to understand Epithelial to Mesenchymal Transition (EMT) and Jak-Stat Signalling – linking infection, inflammation and cancer.

Research Interests

Dr Shukla aims in developing Machine Learning – specifically Artificial Neural Networks (ANN), Hidden Markov Models (HMM) and Support Vector Machines (SVM) based computational methods for insilico biomarker discovery and patients’ stratification in inflammatory diseases and cancer via exploiting high-throughput omics data (genomics, transcriptomics, proteomics & metabolomics).

Teaching Interests

Undergraduate Teaching

  • BIO337: Mathematical and Computational Methods – 2
  • BIO535: Insilico Genomics Proteomics & Metabolomics Analysis Methods
  • BIO540: Clinical Research Project
  • BIO541: Biomedical Informatics (Module Coordinator)

Postgraduate Teaching

  • BIO831: Biomedical Informatics (Module Coordinator)
  • BIO833: Research Project

Fingerprint Dive into the research topics where Priyank Shukla is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Mediator Complex Medicine & Life Sciences
Epithelial-Mesenchymal Transition Medicine & Life Sciences
Madin Darby Canine Kidney Cells Medicine & Life Sciences
Listeria monocytogenes Medicine & Life Sciences
Genes Medicine & Life Sciences
Interferons Medicine & Life Sciences
MicroRNAs Medicine & Life Sciences
Macrophages Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2019

Open Access
anxiety
Teaching
learning
teaching method
student

Comparative proteomics analyses in light-chain cardiac amyloidosis and acute coronary syndrome

Harrigan, R., El Chemaly, M., Shukla, P., Egan, P., Drain, S., Elder, P., McGilligan, V. E., Peace, A., Bjourson, AJ. & Alexander, H. D., 11 Sep 2019.

Research output: Contribution to conferencePoster

1 Citation (Scopus)

Emergence of three dimensional printed cardiac tissue: Opportunities and challenges in cardiovascular diseases.

Charbe, N., Zacconi, F., Amnerkar, N., Pardhi, D., Shukla, P., Mukattash, T., McCarron, P. A. & Tambuwala, M. M., 12 Jan 2019, In : Current Cardiology Reviews. 15, 3, p. 188-204 17 p.

Research output: Contribution to journalReview article

Tissue Engineering
Cardiovascular Diseases
Biocompatible Materials
Cellular Microenvironment
Hydrogel

Role of Radiation in DNA Damage and Radiation Induced Cancer

Chandel, V., Seth, G., Shukla, P. & Kumar, D., 26 May 2019, Networking of Mutagens in Environmental Toxicology. Kesari, K. K. (ed.). Cham, Switzerland, p. 1-23 23 p. (Environmental Science and Engineering).

Research output: Chapter in Book/Report/Conference proceedingChapter

deoxyribonucleic acid
cancer
damage
ionizing radiation
radiation

Activities 2019 2019

  • 1 Invited talk

Machine Learning in Life and Health Sciences: a biologist-turned-informatician’s perspective.

Priyank Shukla (Invited speaker)
7 Mar 2019

Activity: Talk or presentationInvited talk