Research Assistant at Virginia Tech, Visiting Scholar at the University of Technology Sydney
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 .
Microbiome and Immuno-Oncology, Software Development
Senior Bioinformatics Specialist, Center for Molecular Dynamics Nepal (CMDN). University of Tampere, Finland.
Medical Image Analysis, Learning Theory, Bayesian Inference, Computer Vision
Web-GIS, Open-Source, Natural Disasters, Multi-hazard risk, Geospatial
PhD: University of Michigan Synthetic Organic Chemistry, Cardiotonic Steroids Oligonucleotide Chemistry, ASO, siRNA, RNAi
Research Area: Face Recognition, Computer Vision, Explainable AI, Fairness in AI, Deep Learning, Biometrics
Network Economics, Game Theory, Wireless Networks, URLLC, Distributed Machine Learning
Assistant Professor (P), Medicine - Endocrinology, Diabetes, and Metabolism , Department of Medicine
Solubility; Bioavailability; Formulation; Drug delivery; 3D-Printing; Hot-melt extrusion; Spray drying; Amorphous solid dispersion; Co-crystal
Plant-insect interactions; Biogeographic variations on biotic interactions; Spread of invasive species; Geocomputational methods in Ecology and Agricultural Sciences
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.
Computational Biology, Genomics, Machine Learning, Chromatin Biology, CRISPR Screening, Cancer Biology, Single cell biology, Bioinformatics
Electrophysiologist
Research area: Inorganic Chemistry, Organometallic Chemistry, Homogeneous Catalysis, Silicon Chemistry, Phosphines Chemistry
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.
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.
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.
MRI, signal processing.
Plant Biotechnology, Natural fiber, Biofuel, Bioenergy
Disasters, Hazard Risk Assessment, Social Vulnerability, Climate Change, Geospatial Modeling
Immunologist with focus on virology
Public Health, One Health, Infectious diseases, Waterborne diseases, Molecular epidemiology
Power Electronics, Power Converter Design and Control
Hepatology
GIS/RS, Health Geography, Spatial Epidemiology
Postdoctoral Researcher at the University of Bordeaux, Bordeaux France Ph.D. in Molecular Genetics from the University of Glasgow, Glasgow, UK
Guidance, navigation, controls, robotics and computer vision.
Electro-Optics, Photonics, Computational electromagnetics, Transformation optics and Optical communication
Critical Care, ICU, Intensive Care, ICU readmission, LMIC, Global Health
Bacterial natural product biosynthesis and engineering!
Machine Learning, Text Mining
Integrative Medicine Researcher || Ayurveda Doctor || MD (Ayu) Agadatantra (Toxicology) || Research Officer|| |Medical Activist || Social Worker.
Researcher and Grad Student at Columbia University
Machine learning, Computer architecture, High-performance computing with GPUs, Graph analytics
Physicist working in the field of gravitational-wave detectors.
Single Cell transcriptomics
- 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
Software Engineering; generative models;natural language processing
PhD in Bioinformatics. Currently working as a data scientist in Fraunhofer ITMP, Hamburg, Germany. Expertise in Knowledge Graphs and big data analytics.
Nutritionist Dietitian Epidemiologist