プロフィール詳細

プロジェクトを作成

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Dr. Robinson A.に依頼

Chile

PhD Scientist & Developer | Automating Biotech R&D with Python & Streamlit | Data Solutions

プロフィール概要

I am a PhD Scientist turned Developer, specializing in bridging the gap between the wet lab and computational analysis. Unlike generalist data scientists, I understand the biological context of your data, whether it's genomic sequences, physiological signals (EEG/EMG), or industrial fermentation parameters. My focus is on building custom software tools that automate complex analysis, reduce human error, and visualize results instantly. CORE EXPERTISE: Scientific App Development: Building interactive web apps (Streamlit) that allow R&D teams to explore data and run models without coding. Lab Automation Pipelines: Processing large datasets from sensors (NIR, Mass Spec) and reducing manual analysis time by 90%. Machine Learning: Predictive modeling for biological, nutritional, and industrial outcomes. CASE STUDIES: AgTech/Biotech (Project HERMES): Developed a Machine Learning system to predict and optimize insect protein composition for a startup. Deployed as a secure web app for decision-making. Physiology/Neuroscience: Created automated Python pipelines for apnea detection in rodent respiratory signals (EEG/EMG), replacing hours of manual scoring with minutes of automated processing. TECH STACK: Python (Pandas, NumPy, Scikit-learn), Streamlit, BioPython. I am available for remote, asynchronous projects involving data analysis, Python scripting, and custom R&D software tools. LINKS & PORTFOLIO: Portfolio: https://robinsonarcem.github.io/ LinkedIn: https://www.linkedin.com/in/robinson-arce-molina-4566208b/

専門分野

• ★ Automation
• ★ Machine Learning
• ★ Python
• ☆ Computational Biology
• ☆ Molecular Biology
• ☆ Plasmid DNA
• ☆ Fluorescence Microscopy
• ☆ Signal Processing
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Visualization
• ☆ Statistics

サービス

• Data & AI
• Product Development

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization

Product Development Formulation, Prototyping, Device Fabrication

職務経験

R&D Director & Lead Data Scientist

Infood Protein and Biotechnology

2月 2022 - 現在

Scientific Data Scientist

Universidad Austral de Chile

8月 2023 - 1月 2025

PhD Researcher & Bioengineer

Centro de Estudios Científicos (CECs)

3月 2014 - 3月 2021

学歴

PhD in Sciences, Cell and Molecular Biology

Universidad Austral de Chile

3月 2014 - 3月 2020

B.Sc. in Biochemistry

Universidad Austral de Chile

3月 2007 - 12月 2013

認定資格

• Diploma in Data Science

  Universidad del Desarrollo

  https://solicitudes.udd.cl/verificar/index.php/index/?identificador=17075704-1&folio=256764

  8月 2023 - 1月 2024

出版物

JOURNAL ARTICLE

Alex Galaz, Francisca Cortés-Molina, Robinson Arce-Molina, Ignacio Romero-Gómez, Gonzalo Antonio Mardones, L. Felipe Barros, Alejandro San Martín (2020). Imaging of the Lactate/Pyruvate Ratio Using a Genetically Encoded Förster Resonance Energy Transfer Indicator . Analytical Chemistry.

L. Felipe Barros, Alejandro San Martín, Iván Ruminot, Pamela Y. Sandoval, Felipe Baeza-Lehnert, Robinson Arce-Molina, Daniela Rauseo, Yasna Contreras-Baeza, Alex Galaz, Sharin Valdivia (2020). Fluid Brain Glycolysis: Limits, Speed, Location, Moonlighting, and the Fates of Glycogen and Lactate . Neurochemical Research.

Robinson Arce-Molina, Francisca Cortés-Molina, Pamela Y Sandoval, Alex Galaz, Karin Alegría, Stefanie Schirmeier, L Felipe Barros, Alejandro San Martín (2020). A highly responsive pyruvate sensor reveals pathway-regulatory role of the mitochondrial pyruvate carrier MPC . eLife.

Yasna Contreras-Baeza, Pamela Y. Sandoval, Romina Alarcón, Alex Galaz, Francisca Cortés-Molina, Karin Alegría, Felipe Baeza-Lehnert, Robinson Arce-Molina, Anita Guequén, Carlos A. Flores, et al. (2019). Monocarboxylate transporter 4 (MCT4) is a high affinity transporter capable of exporting lactate in high-lactate microenvironments . Journal of Biological Chemistry.

Yasna Contreras-Baeza, Sebastián Ceballo, Robinson Arce-Molina, Pamela Y. Sandoval, Karin Alegría, Luis Felipe Barros, Alejandro San Martín (2019). MitoToxy assay: A novel cell-based method for the assessment of metabolic toxicity in a multiwell plate format using a lactate FRET nanosensor, Laconic . PLOS ONE.

L. Felipe Barros, Alejandro San Martín, Ivan Ruminot, Pamela Y. Sandoval, Ignacio Fernández‐Moncada, Felipe Baeza‐Lehnert, Robinson Arce‐Molina, Yasna Contreras‐Baeza, Francisca Cortés‐Molina, Alex Galaz, et al. (2017). Near‐critical GLUT1 and Neurodegeneration . Journal of Neuroscience Research.

Alejandro San Martín, Robinson Arce-Molina, Alex Galaz, Gustavo Pérez-Guerra, L. Felipe Barros (2017). Nanomolar nitric oxide concentrations quickly and reversibly modulate astrocytic energy metabolism . Journal of Biological Chemistry.