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Hello, I'm Hans Emmanuel Gamido

Applied Physicist|

About Me

Hans Gamido Portrait
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I'm an Applied Physicist pursuing a European Master's in Sustainable Systems Engineering, passionate about the intersection of AI, climate science, and astrophysics. Currently based in Barcelona, I work on machine learning applications for climate modeling and astrophysical data analysis.

My research focuses on explainable AI methods in climate sciences and group-equivariant deep learning for computational fluid dynamics. When I'm not training neural networks or analyzing NASA catalogs, you'll find me advocating for science communication and sustainability.

PythonMachine LearningClimate ScienceAstrophysicsXAIComputer Vision

Projects Gallery

Where science meets art, and code becomes poetry

Explainable AI in Climate Sciences
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Explainable AI in Climate Sciences

Evaluating XAI methods for global heatmap classifications using Quantus framework

Tech Stack

PythonQuantusClimate ModelingXAI
Code
Group Equivariant Deep Learning
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Group Equivariant Deep Learning

CNN applications to fluid dynamics including ENSO simulations and ocean currents

Tech Stack

PythonCNNFluid DynamicsENSO
Code
NASA 4FGL-DR3 Catalog Analysis
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NASA 4FGL-DR3 Catalog Analysis

Astrophysical data mining for classifying Blazar Candidates of Unknown Type

Tech Stack

PythonData MiningAstrophysicsNASA
Code
African Baobab Pharmaceutical Research
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African Baobab Pharmaceutical Research

Biochemical characterization using nanoimaging and spectrometry techniques

Tech Stack

BiochemistryNanoimagingSpectrometryDrug Delivery
Code
Climate Variability Signal Localization
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Climate Variability Signal Localization

Using integrated gradients to interpret AI decisions in climate pattern recognition

Tech Stack

PythonIntegrated GradientsClimate ScienceAI Interpretation
Code
Easy as Py Workshop
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Easy as Py Workshop

Programming education initiative teaching Python fundamentals to high school students

Tech Stack

PythonEducationCommunity OutreachACM
Code

Lab Notebook

Experiments, thoughts, and discoveries from the digital lab

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Integrated Gradients for Climate Pattern Recognition

7/15/2024
12 min

Exploring how integrated gradients can help us understand AI decision-making in global climate heatmap classifications...

#XAI#Climate Science#Deep Learning
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Group Equivariance in Fluid Dynamics Modeling

6/20/2024
15 min

Leveraging symmetries in neural networks to improve forecasting of ocean currents and climate phenomena...

#CNN#Fluid Dynamics#ENSO
entry_003.md
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Astrophysical Data Mining: Hunting Blazars

1/10/2024
10 min

Diving deep into NASA's 4FGL-DR3 catalog to classify mysterious Blazar Candidates of Unknown Type...

#Astrophysics#Data Mining#NASA
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From Physics to Sustainability Engineering

12/5/2023
8 min

Reflecting on the transition from Applied Physics to Sustainable Systems Engineering in Barcelona...

#Career#Sustainability#Erasmus

Let's Connect

Ready to collaborate on something amazing? Drop me a line!

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