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anthology
01
Snowy day
02
Around twilight
03
Apple orchard
04
The days the sea came to me
05
A glass window
06
Gifts
07
The gap between the clouds
08
Marriage
09
People and love
10
Shadow play
11
The remaining time
12
Some flowers bloom on the trunk
13
Blue quilt
14
Socks
Kim Jeong Eun | 2019 Citizen Contest
15
Persimmon flowers
Choi Byeong Gyu | 2020 Citizen Contest
16
Cosmos
17
Strength
18
Beginner driving
19
Old cucumber
20
The spring coronavirus came
21
The sea
22
Chinese fringetree
23
Mom, sister
24
Golden bellflowers
25
Paper tower
26
Walking through the leaves
28
Come with the snowstorm
29
The meal I long for
portfolio
BCM4RCM: Bayesian Committee Machines for Regional Climate Models
An ensembling method to combine different regional climate model outputs and produce principled uncertainty estimates of precipitation under different climate scenarios
cloud-id: Cloud identification over polar regions
Deep learning model to identify clouds over polar regions using satellite data from the Sentinel 3 SLSTR instrument
Cambridgeshire Decarbonisation Fund: Net-Zero by 2050
White paper on investment opportunities to support locally in community infrastructure and nature-based projects that reduce carbon emissions at their source or actively sequester carbon
Beyond intuition, a framework for applying Gaussian Processes to real-word data
Formalising the decision-making process of experienced Gaussian Processes users with an emphasis on kernel design and computational scalability
Narrowing precipitation uncertainty over High Mountain Asia
Downscaling precipitation using Multi-Fidelity Gaussian Processes by combining data from multiple sources to increase prediction accuracy and provide principled uncertainty distribution
Predicting future precipitation in the Upper Indus Basin using Gaussian Processes
Large-scale atmospheric variables are used to make 15-year projections where flexible non-stationary techniques are contrasted with methods incorporating domain knowledge
Pyrocast: A machine learning framework for forcasting pyroCb clouds
A pipeline for the identification, forecasting and causal prediction of pyrocumulonimbus clouds generated by extreme wildfires