- 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
Development of portable devices for food and water quality monitoring and material characterization
Research Scientist at Center for Molecular Dynamics Nepal. Production Manager at Biovac Nepal Pvt. Ltd. Lab Manager at Intrepid Nepal Pvt. Ltd. - Molecular Biology lab
Computational Biology, Genomics, Machine Learning, Chromatin Biology, CRISPR Screening, Cancer Biology, Single cell biology, Bioinformatics
Machine Learning, Data Science, Deep Learning, Graph Neural Networks, Graph Representation Learning, Geometric Deep Learning, Computer Vision, Natural Language Processing
Software Engineering; generative models;natural language processing
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.
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.
Plant Biotechnology, Natural fiber, Biofuel, Bioenergy
Bacterial natural product biosynthesis and engineering!
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 .
Senior Bioinformatics Specialist, Center for Molecular Dynamics Nepal (CMDN). University of Tampere, Finland.
Network Economics, Game Theory, Wireless Networks, URLLC, Distributed Machine Learning
Pharmaceutical technology, drug delivery system, pharmceutical analytical technology, nanoparticles, formulation
Water resources management, Water accounting, Water Footprint, Food, Irrigation
Critical Care, ICU, Intensive Care, ICU readmission, LMIC, Global Health
Ensemble Deep Learning, Deep Learning, Neural Networks, Pattern Recognition
Public Health, One Health, Infectious diseases, Waterborne diseases, Molecular epidemiology
He focuses on information retrieval using natural language processing and computer vision techniques.
Statistical signal processing, adaptive beamforming, tracking and estimation, air-traffic control automation systems
Medical Image Analysis, Learning Theory, Bayesian Inference, Computer Vision