Christopher Whidden
Associate Professor
Halifax, Nova Scotia, Canada
Summary
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Senior🎓
Top SchoolChristopher Whidden is an Associate Professor of Computer Science at Dalhousie University and the DeepSense/COVE Digital Ocean Research Chair with 12 years of experience building algorithms and machine learning systems for bioinformatics and ocean science. He leads applied, collaborative projects that translate AI into operational tools—everything from fast echosounder filtering that cuts data-cleaning from hours to minutes to machine-learning models for fish detection and redundancy prediction for ocean buoys. His academic work spans algorithmic theory (speeding SPR distance computations by orders of magnitude) to practical visualization and sampling methods developed during his postdoc, and he directs large interdisciplinary initiatives including MERIDIAN and a CFREF subtheme on AI for climate action. Based in Halifax, he combines deep computational expertise with hands-on deployment experience and a track record of partnering with industry and ocean scientists to protect at-risk species and enable clean-energy research.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Dalhousie University
Github Skills (8)
python6
cheminformatics6
rdkit5
floor1
ocean1
filter1
noise1
surface1
Programming languages (3)
Github contributions (5)
cwhidden/uspr
Oct 2014 - May 2018
Software for computing the unrooted subtree prune-and-regraft distance between topologies
Contributions:3 releases, 102 commits, 13 pushes in 3 years 6 months
pythondistancetopologiescomputingprune
cwhidden/rspr
Sep 2013 - Jan 2023
rSPR is a software package for calculating rooted subtree-prune-and-regraft distances and rooted agreement forests.
Contributions:47 commits, 2 PRs, 16 pushes in 9 years 5 months
distancesagreementforestsprune
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