BWF 2020/22: AI-Driven Bioinformatics

AI-Driven Bioinformatics

BWF Pathway Level

Advanced

Session & Time

Platforms

Five (5) sessions
30 January - 27 February 2022
Every Sunday | 13:00 - 17:00 (GMT+8)

Zoom & Discord

Programme

Date	Time	Topic
30 January 2022	13:00 - 17:00	Genomics medicine I and II
6 February 2022	13:00 - 17:00	Clinical decision support system I and II
13 February 2022	13:00 - 17:00	Vaccine design
20 February 2022	13:00 - 17:00	Drug design
27 February 2022	13:00 - 17:00	Medical imaging

Prerequisites

Basic knowledge of the below is required for this workshop:
- UNIX/LINUX/Mac OS environments
- Python

Instructors

PAWEL Suwinski, MSc (UK)
Clinical and Molecular Geneticist, Mygenics Sdn. Bhd., Malaysia

Topic: Genomics medicine I and II

Dr Pawel Suwinski is a medical professional with extensive experience in clinical genomics, bioinformatics, healthcare informatics and economics. He holds a medical degree from Warsaw Medical Academy in Poland, a master’s degree in Healthcare Management from Swansea University (UK), and Postgraduate Diploma in Human Clinical Genetics (NZ).
He has diverse working engagements that include:

Clinical practice, Malaysian National Telemedicine Project.
Implementation of Hospital Information System in the Middle East countries.
Healthcare consulting with Frost & Sullivan.
Malaysian Genomics Resource Centre Berhad (MGRC): clinical geneticists and a medical bioinformatician
Mygenics: bioinformatic analysis and interpretation of genomic sequence data, clinical data analytics, genomic/genetic tests commercialisation, clinical geneticists.

Dr Pawel received acclaim for his research through scientific papers, articles, and quotes published in Frontiers in Genetics, Market Mergers, The Financial Times, Bloomberg, The Edge, The New Straits Times and other local and regional dailies, and business publications. He has authored several White Papers and has been a guest speaker at numerous conferences on Medical Genomics, Personalised Medicine and Hospital Information Technologies.

Mogana Darshini, PhD (MY)
Data Scientist, Universiti Malaya Medical Centre, Malaysia

Topic: Clinical decision support system I and II

Mogana Darshini Ganggayah was awarded a Bachelor of Science in Bioinformatics with Distinction from University Malaya in 2018. She then enrolled into PhD in 2018 and completed her Doctoral Degree in Data Science. Currently, Mogana is actively involved in research and development related to data science and had published high impact academic journal articles. Her fields of expertise are data science, machine learning, database development and management, web development, and medical informatics. She is engaged with projects regarding big data especially medical data analytics from data management, knowledge extraction to pipeline development for decision-making. Mogana has been a teaching assistant for Bioinformatics undergraduates in University Malaya from 2018 till 2019. The courses that she has taught are Database Management and Operating System. Mogana has been a part-time trainer in Perdana University School of Data Sciences for courses namely Data Analytics Essentials, Machine Learning, Application of Big Data and Introduction to R and Data Visualization using R ggplot2. Currently, Mogana is affiliated with the University Malaya, Medical Centre as a Data Scientist under Research, Development and Innovation Department working on the enhancement of big data analytic solutions using data science approach. She is also a certified trainer under Human Resources Development Fund (HRDF). Her research interest in Data Science inspires herself to continually acquire new skills and knowledge in the state-of-the-art.

Guanglan Zhang, pHD (SG)
aSSOCIATE pROFESSOR, bOSTON uNIVERSITY, USA

Topic: Vaccine design

Dr. Guanglan Zhang is an Associate Professor and the Health Informatics Program faculty coordinator at Computer Science Department, Metropolitan College (MET) at Boston University. She has a broad background in bioinformatics and health informatics, with expertise in computational modeling of complex biological processes, the building of analytical tools for pattern recognition from these data, the development of next-generation biological databases, and the construction of computational infrastructures to support biomedical studies. During the 20 plus years of pursuing research in biomedical sciences, she has authored more than 50 journal publications, developed more than 20 online computational systems, and filed two patents as co-inventors.

CHANIN NANTASENAMAT, PHD (TH)
DEVELOPER ADVOCATE, STREAMLIT, USA

Topic: Drug design

Chanin Nantasenamat is currently a Developer Advocate at Streamlit where he create contents on how to build and deploy Streamlit apps. He also runs the Data Professor YouTube channel where he create data science tutorial videos. Previously, he was an Associate Professor at Mahidol University where he also served as the founding Head of the Center of Data Mining and Biomedical Informatics.
He received his BSc in Biological Science from Mahidol University International College in 2002 and his PhD in Medical Technology from Mahidol University in 2006. He has been a Visiting Professor at various universities including Uppsala University, Lund University, University of California at Los Angeles and California State University at Fullerton.
He has published almost 150 research publications and more than 20 bioinformatics tools on the application of machine learning in drug discovery and has received several national and international awards in research. He has 20 years of research experience with research interest at the interface of biology, chemistry and computer science encompassing interdisciplinary areas such as bioinformatics, cheminformatics, chemogenomics and quantitative structure-activity relationship (QSAR) proteochemometrics (PCM) for exploring the underlying origins of protein function and its modulation (i.e. inhibition or activation). Such understanding holds great implication for drug discovery, particularly in the discovery of novel bioactive compounds with therapeutic activity.

Navchetan Awasthi, PHD (in)
Postdoctoral Research Fellow, Eindhoven University of Technology, netherlands

Topic: Medical imaging

Navchetan Awasthi is currently a postdoctoral research fellow at the Eindhoven University of Technology, Eindhoven, Netherlands. Previously, he was a Research Fellow with Massachusetts General Hospital, Boston, MA, USA, and Harvard University, Cambridge, MA, USA. He received the B.Tech. degree in Electronics and Communication engineering from the National Institute of Technology (NIT) at Jalandhar, India, in 2011, and the M.Tech. degree in computational science and the Ph.D. degree in medical imaging from the Indian Institute of Science (IISc), Bengaluru, India, in 2016 and 2019, respectively. His research interests include inverse problems in biomedical optics, medical image analysis, medical image reconstruction, biomedical signal processing, and deep learning.