.. _Top: Experience ========== Summary ------- * Microbiome scientist with 5+ years of experience developing and applying high-throughput molecular, computational, and statistical research methods to analyze 1000's of zebrafish gut microbiome samples * Robust data analytic skills in multivariate statistics and machine learning propel research experiments forward and gain data-driven insights * Demonstrated abilities to collaborate and take leadership in cross-laboratory experiments and extra-curricular projects * Experienced in written, oral and visual communication across scientific and public audiences Education --------- +------------------------------------------------------------------------------------------------+-----------------+ | Oregon State University | *Expected 2025* | | | | | **Ph.D. Microbiology**, minor in Biological Data Sciences | | | | | | - Advised by `Dr. Thomas J. Sharpton `_ | | +------------------------------------------------------------------------------------------------+-----------------+ | Oregon State University | 2020 | | | | | **B.Sc. Bioresource Research**, options in Bioinformatics and Genomics | | +------------------------------------------------------------------------------------------------+-----------------+ Research -------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | **Investigate how environmental factors (diet, pollutants, pathogens, etc.) interact with the gut microbiome to influence host health using the zebrafish model organism.** | +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | **Projects:** | | | | * Measure resilience of gut microbiome to chronic exposure of antibiotics (Sieler, *in-development*) | | * Assess gut microbiome resiliency to anthropological impacts such as temperature and pathogenic exposure (Sieler, *in-development*) | | * Investigate the joint interaction effects of diet and pathogen exposure on gut microbiome succession (Sieler, *in-prep*) | | * Measure the effect of nanoplastics on the mouse gut microbial community `(Szule 2022) `_ | | * Potential and challenges of deep transfer learning in microbiome science `(David 2021) `_ | | * Meta-analysis of zebrafish gut microbiomes phylogeny `(Sharpton 2021) `_ | | * `Microbial Bioinformatics Hub: `_ information, methods and tools related to analyzing microbiological data | | * The impact of the environmental pollutant Benzo(a)Pyrene on gut microbiomes of juvenile zebrafish (Stagaman, *in-development*) | | | | **Tools:** | | | | * Programming: R, Python, Git, DADA2, Phyloseq, HTML, CSS, Unix/Linux, C++ | | * Bioinformatics: 16S sequencing (DADA2 & Phyloseq), Metagenomics (FastTree & HMMER) | | * Documentation: Sphinx & ReadTheDocs | | | | | | **Skills:** | | | | * Analytic: data management and analysis, multivariate statistics, machine learning | | * Presentation: oral and written communication, pipeline documentation | | * Project Management: leadership, experimental design, coordination and analysis, cross-laboratory collaboration | | * Other: see more `Skills`_ below | +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ Work ---- +------------------------------------------------------------------------------------------------+--------------------+ | **MJSieler Consulting - Owner** | May 2022-Present | +------------------------------------------------------------------------------------------------+--------------------+ | **Projects:** | | | | * `Virtual Fish (GitHub) `_ | | | | * Designed, developed, and deployed educational video game software for clients | | * Educational software used to fulfill grant requirements for communicating scientific research | | | | | | **Tools used:** | | | | * C#, Unity, Git | +---------------------------------------------------------------------------------------------------------------------+ Awards, Honors & Fellowships ---------------------------- +----------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+ | `Oregon Museum of Science and Industry `_ | 2020-Present | | | | | **Science Communication Fellow** | | | | | | - Received certified training in informal science education and engagement with public audiences to increase their understanding of STEM research | | +----------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+ | `ARCS Foundation `_ | 2020-2023 | | | | | **ARCS Scholar** | | | | | | - Recognized for my early significant contributions to scientific research, I was awarded the prestigious ARCS Scholar grant ($18,000) | | +----------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+ Certificates ------------ +------------------------------------------------------------------------------------------------+--------------------+ | Machine Learning Specialization | *In-progress* | +------------------------------------------------------------------------------------------------+--------------------+ | * Introduction to modern machine learning, including supervised and unsupervised learning | | * Supervised and unsupervised machine learning, advanced learning algorithms | | * Use Python to build and train machine and deep learning models | | | | * `Course `_ | +------------------------------------------------------------------------------------------------+--------------------+ | Data Science and Machine Learning Bootcamp with R | 2021 | +------------------------------------------------------------------------------------------------+--------------------+ | * Program with R to wrangle, clean, analyze, and visualize data. | | * Apply advanced statistics and machine learning to gain useful insights. | | | | * `Certificate `_ | +---------------------------------------------------------------------------------------------------------------------+ .. _Skills: Skills ------ +----------------------------+------------------------------------+--------------------------------+ | **Programming:** | **Statistics and Data Analytics:** | **Bioinformatics:** | +----------------------------+------------------------------------+--------------------------------+ | - R | - Advanced linear regression | - 16S sequencing | | - Python | - Machine learning | - Metagenomics | | - C# (Unity) | - Model building and testing | - DADA2 | | - Git | - Big data query | - Phyloseq | | - HMTL & CSS | - Data mining | - Mothur | | - C++ | | - HMMER | | - UNIX/Linux | | - FastTree | +----------------------------+------------------------------------+--------------------------------+ | **Laboratory:** | **Other:** | **Languages:** | +----------------------------+------------------------------------+--------------------------------+ | - Zebrafish husbandry | - Microsoft Office Suite | - English (native) | | - Bacterial culturing | - Adobe Photoshop and Illustrator | - German (C1, advanced) | | - DNA extraction | - Blender | - Spanish (beginner) | | - PCR amplification | | | | - Gel electrophoresis | | | +----------------------------+------------------------------------+--------------------------------+ Download Resume & CV -------------------- :icon:`fas fa-download` :download:`Resume (one page) <../ResumeCV/MichaelSieler_Resume.pdf>` :icon:`fas fa-download` :download:`CV <../ResumeCV/MichaelSieler_CV.pdf>` ------ Return to `top`_. ------