A Medical Microbiologist passionate in creating quality research and education that helps in the fields of Science, Technology, Innovation and promote its community by generating tangible outcomes. QA/QC/QbD practitioner at Pharmaceutical & Medical Device Industry .
Computational Biology, Genomics, Machine Learning, Chromatin Biology, CRISPR Screening, Cancer Biology, Single cell biology, Bioinformatics
Senior Bioinformatics Specialist, Center for Molecular Dynamics Nepal (CMDN). University of Tampere, Finland.
Network Economics, Game Theory, Wireless Networks, URLLC, Distributed Machine Learning
- Adjunct Associate Professor at Columbia University - Founder and CEO of FuseMachines Inc. EDUCATION PhD, MPhil, MS in Computer Science, Columbia University BS in Math and Physics, Bates College
Nutritionist Dietitian Epidemiologist
Physicist working in the field of gravitational-wave detectors.
Postdoctoral Researcher at the University of Bordeaux, Bordeaux France Ph.D. in Molecular Genetics from the University of Glasgow, Glasgow, UK
Research Assistant at Virginia Tech, Visiting Scholar at the University of Technology Sydney
Integrative Medicine Researcher || Ayurveda Doctor || MD (Ayu) Agadatantra (Toxicology) || Research Officer|| |Medical Activist || Social Worker.
Medical Image Analysis, Learning Theory, Bayesian Inference, Computer Vision
Researcher and Grad Student at Columbia University
Plant-insect interactions; Biogeographic variations on biotic interactions; Spread of invasive species; Geocomputational methods in Ecology and Agricultural Sciences
MRI, signal processing.
Solubility; Bioavailability; Formulation; Drug delivery; 3D-Printing; Hot-melt extrusion; Spray drying; Amorphous solid dispersion; Co-crystal
Web-GIS, Open-Source, Natural Disasters, Multi-hazard risk, Geospatial
Bishnu P. Marasini is a Microbiologist, Biotechnologist, and Head, Department of Biotechnology, National College, Tribhuvan University. He specializes in bio-assay, drug discovery, AMR, MDR bacterial strains, and seeking new metabolites, including antibiotics from natural sources, such as medicinal plants, actinomycetes, myxobacteria. He has developed high-throughput (only 96-well plate) screening of plant extracts with suitable disease model in vitro. Also, he is working for data analysis and statistical correlation.
Niranjan Parajuli is a biochemist, biotechnologist, and a professor of chemistry at Tribhuvan University. He specializes in genetic manipulations in bacterial strains and protein engineering towards the development of new metabolites, including antibiotics. He has also, developed high-throughput and ultra-high-throughput screen techniques for some proteins.
Hepatology
Disasters, Hazard Risk Assessment, Social Vulnerability, Climate Change, Geospatial Modeling
Microbiome and Immuno-Oncology, Software Development
PhD in Bioinformatics. Currently working as a data scientist in Fraunhofer ITMP, Hamburg, Germany. Expertise in Knowledge Graphs and big data analytics.
Public Health, One Health, Infectious diseases, Waterborne diseases, Molecular epidemiology
Research area: Inorganic Chemistry, Organometallic Chemistry, Homogeneous Catalysis, Silicon Chemistry, Phosphines Chemistry
Single Cell transcriptomics
Assistant Professor (P), Medicine - Endocrinology, Diabetes, and Metabolism , Department of Medicine
Electrophysiologist
Immunologist with focus on virology
Bacterial natural product biosynthesis and engineering!
Electro-Optics, Photonics, Computational electromagnetics, Transformation optics and Optical communication
Power Electronics, Power Converter Design and Control
Machine Learning, Text Mining
I am a computational biologist working to understand the regulatory principle of gene dysregulation in cancer.
I am working on cell based biomimetic nanoparticulate (extracellular vesicles) system for cancer target drug delivery and imaging.
PhD: University of Michigan Synthetic Organic Chemistry, Cardiotonic Steroids Oligonucleotide Chemistry, ASO, siRNA, RNAi
GIS/RS, Health Geography, Spatial Epidemiology
Professor of Economics at the Massachusetts Institute of Technology and is affiliated with the National Bureau of Economic Research where he co-founded and directs the working group on market design.
Machine learning, Computer architecture, High-performance computing with GPUs, Graph analytics
Critical Care, ICU, Intensive Care, ICU readmission, LMIC, Global Health
Software Engineering; generative models;natural language processing
Plant Biotechnology, Natural fiber, Biofuel, Bioenergy
Research Area: Face Recognition, Computer Vision, Explainable AI, Fairness in AI, Deep Learning, Biometrics
Guidance, navigation, controls, robotics and computer vision.