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I am an independent researcher with an MSc in Cognitive Science MSc from the University of Edinburgh and a BS in Computer Science from Ateneo de Manila University. I have a passion for ethical, human-oriented solutions in AI, especially those with connections to the brain.
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I study the various dimensions and behavioural impacts of human-AI interaction in an effort to ensure frontier AI benchmarks of alignment are sufficiently reflective of real-world dynamics and firmly rooted in pluralistic human values.
Highlights
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Cognitive-Diversity
Cognitive-Diversity PublicAn independent project simulating human-AI juries in silico, exploring the complementarity of orthogonal blind spots in cognitive reasoning diversity
Python
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nefinia/epistemic-fingerprints
nefinia/epistemic-fingerprints PublicA behavioral pilot testing whether cognitively distinct AI personas provide genuine epistemic diversity—or produce different-looking answers while sharing the same blind spots.
Python
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DVR
DVR PublicDVR: Multi-modal deformable image registration of the brain and abdomen with reinforcement learning using a hybrid Dino-Reg and Vlearn model
Python
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CSfromCS/VHS-Thesis
CSfromCS/VHS-Thesis PublicALIVE Research on E-Jeep video detection using neural network as location tracking.
Jupyter Notebook
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ecog-decoder
ecog-decoder PublicECoG decoder project completed as part of Neuromatch's Computational Neuroscience program
Jupyter Notebook
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