Data science, bioinformatics

Data science, bioinformatics

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CHAVIT TUNVIRACHAISAKUL

Lecturer

Department of Psychiatry  Faculty of Medicine, Chulalongkorn University

Research interest :

  • geriatric psychiatry
  • informatic and precision medicine
  • brain stimulation
  • depression
  • cognitive impairment

I help running the Dementia Day Center and Dementia Clinic of King Chulalongkorn Memorial Hospital. I also be a part of clinical instructor team of geriatric psychiatry training program. My current research and development projects are about patients with dementia, patients with depression that have other medical conditions, adapting current wearable technology to help older patients (e.g. smart watch and VR), and evaluating the use of repetitive Transcranial Magnetic Stimulation in patients with depression.

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CHAIPAT CHUNHARAS

Lecturer

Chulalongkorn Cognitive, Computational & Clinical Neuroscience

Research interest :

  • Cognitive Neuroscience
  • Experimental Psychology
  • AI
  • Neurology

CC received his subspecialty trainings in Neurology and Internal Medicine and did his PhD in experimental psychology (Cognitive Behavioral Neuroscience subfield) at UCSD. His current researches focuses on bridging the gap between basic and clinical neuroscience.

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SIPAT TRIUKOSE

Lecturer

Chulalongkorn University Big Data Analytics and IoT Center (CUBIC)

Research interest :

  • Application of Data Science and Digital Technology in Healthcare (e.g. CVD, DM, CKD, Retina, Skin, Lung, COVID-19) 
  • Large-Scale Performance Evaluation 
  • Telemedicine

Dr. Sipat Triukose is a member of Chulalongkorn University Big Data Analytics and IoT Center (CUBIC) and a research group on Applied Digital Technology for Medicine (ATM). He is also a member of the Thai Red Cross education and research committee. Early in the career, his areas of interest revolve around performance measurement and evaluation of a large-scale system, such as the Internet and web, content distribution network, computer network, and social network. He later expanded his interest toward big data analytics, digital transformation, and artificial intelligence applications in several fields of study, especially in medical research and the healthcare system. In 2018, he co-founded TrueEye.AI, a medical technology startup focusing on utilizing medical research and deep technology to create a preventive and non-invasive medical solution. Dr. Sipat Triukose received a Ph.D. in Computer Science from Case Western Reserve University (USA). Before joining Chulalongkorn University, he worked for National ICT Australia or NICTA (transformed to Data61 in 2016) in Sydney, Australia.

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SIRA SRISWASDI

Lecturer

Research Affairs, Head of Computational Molecular Biology Group, Director of Center for Artificial Intelligence in Medicine

Research interest :

  • Computational biology,
  • Proteomics, Biological networks
  • Machine learning

Dr. Sriswasdi studied theoretical mathematics, computer sciences, and computational biology at Massachusetts Institute of Technology and University of Pennsylvania with focuses on mass spectrometry-based proteomics of red blood cells and protein-protein interaction networks in C. elegans. He also did a postdoctoral research on molecular evolution of hybrid fungal genomes at the University of Tokyo. His current research applies bioinformatics and machine learning techniques to answer molecular biology and medical questions – from developing deep learning models for de novo peptide sequencing and diagnosing diseases in chest x-rays to decoding cell developmental pathway from single-cell transcriptomics data.

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SIRIN NITINAWARAT

Lecturer  

Faculty of Engineering, Chulalongkorn University

Research interest :

  • Bio & Genetic engineering 
  • Data science 
  • Digital transformations  Preventive medicine 
  • Public health 
  • Health & wellness 
  • Telemedicine.

Dr. Sirin Nitinawarat obtained the B.S.E.E. degree from Chulalongkorn University, Bangkok, Thailand, with first class honors, and the M.S.E.E. degree from the University of Wisconsin, Madison, USA. He received his Ph.D. degree from the Department of Electrical and Computer Engineering and the Institute for Systems Research at the University of Maryland, College Park, USA. He was a postdoctoral research associate at the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign, USA. He then had a career in the industry working as a senior systems engineer at Qualcomm Technologies, San Diego, California, USA, where he helped invented network technologies for cutting-edge smartphones for three years. After which he returned to Thailand as a lecturer at the International School of Engineering, Faculty of Engineering, Chulalongkorn University. His research interests are in bio and genetic engineering, data science, digital transformations, preventive medicine, public health, health and wellness, and telemedicine.

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SOMPONG VONGPUNSAWAD

Lecturer

Faculty of Medicine, Chulalongkorn University

Research interest :

  • Virology, Molecular Biology
  • Microbiology
  • Epidemiology
  • Medical Genetics

Sompong Vongpunsawad, Ph.D., studies viruses that cause respiratory and enteric diseases in adults and young children. These viruses are often transmitted rapidly and cause wide-ranging symptoms. Vaccination against measles, influenza, and rotavirus have greatly reduced these diseases, but infections by enteroviruses, respiratory syncytial virus, and norovirus remain of concern. The lab’s expertise focuses on the rapid detection of virus infection in patients, surveillance of disease outbreaks in the community, and identification of novel viral variants of clinical importance. Accurate and timely diagnosis of viral infection using molecular/immunological assays will significantly improve patient care and help develop better vaccines and therapies.

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PIRIYA WONGKONGKATHEP

Lecturer

Faculty of Medicine, Chulalongkorn University

Research interest :

  • Personalized Medicine
  • Cancer Bioinformatics
  • Proteomics

Dr. Piriya Wongkongkathep specializes in cancer multi-omics and personalized medicine. His research interests include cancer neoantigen discovery using multi-omics approaches, such as whole exome sequencing, RNA sequencing, and mass spectrometry-based proteomics to design the personalized treatment for cancer patients. Currently he is responsible for the first cancer neoantigen vaccine phase I clinical trial in Thailand at King Chulalongkorn Memorial Hospital. The aim is to stimulate mutation-specific immune responses to target cancer.

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POOMJAI NACASKUL

Lecturer

Scii – Chulalongkorn School of Integrated Innovation

Research interest :

  • Machine Learning
  • Artificial Neural Networks
  • Evolutionary Optimisation Algorithms
  • Financial Risk Management
  • Sufficiency Economy Philosophy

BA in Physics & Economics double majors, MA in Operations Research, minor in Finance, from Case Western Reserve University, and Ph.D. in Computational Intelligence from Imperial College, University of London, with doctoral thesis on “Evolutionary Optimisation and Financial Model-Trading” 14+ years with the Bank of Thailand, final position Principal Researcher, Monitary Policy Group. 6+ years with Siam Commercial Bank, final position First Senior Vice President, Principal Data Scientist. Currently engaged in Data Science Consultancy projects with, amongst others, UOB Asset Management (Thailand), and on full-faculty contract with Chulalongkorn School of Integrated Innovation, Applied Digital Intelligence section.

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PRAVEE KRUACHOTTIKUL

Lecturer

Chulalongkorn University Technology Center

Research interest :

  • innovation 
  • innovation process development 
  • Applied digital and deep-tech research (i.e. AI, Data Science, Robotics, Automation, or IoT) for business applications such as health, medical, manufacturing, construction, etc.

Pravee Kruachottikul graduated in Ph.D. in the Technopreneurship and Innovation Management Programme, Graduate School, from Chulalongkorn University. His professional is a system integrator and innovation developer. He has an extensive background and work experience of more than 15 years in management within tech firms and deep-tech innovation incubator. His areas of research interests include innovation development and applied digital and deep-tech research (i.e. AI, Data Science, Robotics, Automation, or IoT) for business applications such as health, medical, manufacturing, construction, etc.

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RONPICHAI CHOKESUWATTANASKUL

Lecturer 

Clinical Lecturer Chulalongkorn University

Research interest :

  • Cardiology: AI (and telemedicine)
  • meta-analysis, survival analysis
  • cohort study design.

Dr. Ronpichai Chokesuwattanaskul is a cardiac electrophysiologist, arrhythmia doctor, who is eager in the concept of collaboration and team players philosophy to generate innovation for community. HIs primary interest area is general cardiology, EKG, invasive procedures, AI, data science, bioinformatics, and data management. Other than clinical interest and teaching experiences, his works have been published in prestige journals, on average 10 publications per year in the past few years in addition to an extensive collaboration with faculties outside hospital including ivy league universities. He also plays role as academic editor of PLOS ONE journal.

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TALENT THEPAREE

Lecturer 

Faculty of Medicine, Chulalongkorn University

Research interest :

  • Molecular pathology
  • surgical pathology 
  • quality assurance

I am a board-certified surgical and molecular pathologist with a dream of making genomic testing more widely available in Thailand for diagnostic, prognostic, and therapeutic purposes. I did my training in the US (Chicago and the San Francisco Bay Area) and have previously done both quality improvement projects and new test validation for labs. I believe that creating usable infrastructure and good systems is a foundation of medical care.

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PAKANAT DECHARATANACHART

Lecturer

Chulalongkorn University International Medical Program (CU-MEDi)

Research interest :

  • Cost-effectiveness analysis
  • Meta-analysis 
  • Disease modeling 
  • Internal medicine

Dr. Pakanat graduated Doctor of Medicine and Board of Internal Medicine from Faculty of Medicine, Chulalongkorn University. He has always been interested in research with experience abroad at Harvard Stem Cell Institute and Center of Regenerative Medicine, Massachusetts General Hospital, Harvard University. His research interests are cost-effectiveness analysis, disease modeling and meta-analysis. He is currently working with the Department of Medicine to establish a cost-effectiveness research community at the Faculty of Medicine.

HEALTHCARE IS DELIVERED WHERE YOU ARE.

Have you ever imagined being your own personal doctor and managing your own health sitting in front of a TV at home? Testing that once seemed risky out of the hands of medical professionals is now more than ever a touchable reality. The advancement of handheld technology has brought an explosion of personal health gadgets such as smart watches that can monitor heart rate, blood pressure, breathing, and calories burned. High-speed internet advances have allowed for the efficient use of mobile phone applications, online consultant services, telemedicine, and even AI therapists. Some laboratory tests can even be ordered from home at the click of the button, with tool kits delivered and results available quickly online. 

Future prospects of healthcare are moving from being doctor-centered to the patient viewpoint. Disease treatments will also expand to lifestyle remedies and coaching and extend out from visits to the hospital to a 24/7 online service. We might see more data doctors, where personal information of patients is streamed through an online platform and managed by professionals behind screens in ‘Care Hubs.’ After analysis of the person’s health data, they can provide individualized consult to each person, and recommend fitness programs that utilize entertainment and games to increase compliance. Personal devices will have bio-sensors to detect critical vital signs like irregular heartbeats and will be able to immediately send alerts to their doctors for any signs of life threatening conditions. Healthcare will be accessible where ever as internet connectivity becomes more and more ubiquitous.