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I'm Sergio Poo Hernandez, a PhD in Computing Science with a focus on Machine Learning applied to biology, particularly bird classification. I enjoy designing experiments and building models that bridge biology and AI. My work spans input-enhanced CNNs, Neural Architecture Search, and model interpretability, with experience running cloud-based experiments, data imputation, and trait data fusion for evolutionary ecology research.…I'm Sergio Poo Hernandez, a PhD in Computing Science with a focus on Machine Learning applied to biology, particularly bird classification. I enjoy designing experiments and building models that bridge biology and AI. My work spans input-enhanced CNNs, Neural Architecture Search, and model interpretability, with experience running cloud-based experiments, data imputation, and trait data fusion for evolutionary ecology research.

Sergio Poo Hernandez

Data Scientist, AI Engineer, AI Developer, +2

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I'm Sergio Poo Hernandez, a PhD in Computing Science with a focus on Machine Learning applied to biology, particularly bird classification. I enjoy designing experiments and building models that bridge biology and AI. My work spans input-enhanced CNNs, Neural Architecture Search, and model interpretability, with experience running cloud-based experiments, data imputation, and trait data fusion for evolutionary ecology research.…I'm Sergio Poo Hernandez, a PhD in Computing Science with a focus on Machine Learning applied to biology, particularly bird classification. I enjoy designing experiments and building models that bridge biology and AI. My work spans input-enhanced CNNs, Neural Architecture Search, and model interpretability, with experience running cloud-based experiments, data imputation, and trait data fusion for evolutionary ecology research.

Available to hire

I’m Sergio Poo Hernandez, a PhD in Computing Science with a focus on Machine Learning applied to biology, particularly bird classification. I enjoy designing experiments and building models that bridge biology and AI.

My work spans input-enhanced CNNs, Neural Architecture Search, and model interpretability, with experience running cloud-based experiments, data imputation, and trait data fusion for evolutionary ecology research.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Spanish; Castilian

Advanced

Work Experience

Postdoctoral Fellow at University of Alberta

January 1, 2025 - Present

Part of the Collaboration for Open Science and Synthesis in Ecology and Evolution (COSSEE). Studying the use of AI in Evolutionary Ecology. Develops tools to facilitate research in Evolutionary Ecology: data imputation using AI techniques (autoencoders, tabular foundation models) and creation of a comparative database of trait data.

Teaching Assistant at University of Alberta

January 1, 2017 - January 1, 2025

In charge of lab activities, preparing necessary material, creating class assignments, and marking assignments and exams.

Research Assistant at University of Alberta

January 1, 2016 - January 1, 2025

Supported the research of Dr. Vadim Bulitko and Dr. Erin Bayne in developing bird species classifiers using CNNs. Focused on improving the accuracy of CNNs by modifying inputs and exploring the impact of network architecture. Setup and ran experiments in cloud clusters and analyzed results, presenting progress at weekly team meetings and incorporating lab feedback to improve results.

Teaching Assistant at University of Alberta

January 1, 2012 - January 1, 2015

Teaching assistant duties during 2012–2015.

Build Engineer at Rational products, IBM

January 1, 2007 - January 1, 2012

In charge of build tool development and maintenance of build environments for Rational products (RAD, RCL). Worked on the Common Component Build (CCB) tool and collaborated with development and testing teams; required skills included Java, ANT, JavaScript, Eclipse plugin development, XML, PHP, SQL.