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