From baf0c51c3d0cdd549bc66eb2f0b3ee8469bb79e0 Mon Sep 17 00:00:00 2001 From: Xenophong Date: Tue, 26 Mar 2024 00:30:40 +0100 Subject: [PATCH] further_updates --- index.html | 34 +++++++++++++++++++++++++--------- 1 file changed, 25 insertions(+), 9 deletions(-) diff --git a/index.html b/index.html index 96fe69a..aa2b7ae 100644 --- a/index.html +++ b/index.html @@ -299,10 +299,14 @@

Scientific Assistant

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Helmholtz Pioneer Campus

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Joined the institute of translational genetics, studying the genetic basis of mental health disorders. I design architectures, train models and conduct statistical analyses on genetic data to understand human health and disease.

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Helmholtz Pioneer Campus

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+ As a graduate student at the Munich School of Data Science (MUDS) , I joined the Institute of Translational Genetics to research the genetic basis of mental health disorders. + I design architectures, train models, and conduct statistical analyses on genetic data to understand human health and disease. Additionally, I co-organized two retreats at MUDS, overseeing speaker invitations and agenda management. +

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Research Fellow

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Ludwig Maximilian University of Munich

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I collaborated with Munich's Machine Learning Center (MCML), LMU's statistics department, and Bavaria's civil protection to create a web app development for the determination of optimal water extraction points for firefighting purposes, encompassing statistical mapping, machine learning and interactive maps. Tasks involved front-end development (flask, html, css, leaflet), routing algorithms, docker containerization of the app, AWS deployment, and presenting to Germany's federal parliament. +

Maximilian University of Munich

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+ I was awarded a fellowship from the Data Science for Social Good Foundation (DSSG), through which I collaborated with Munich's Machine Learning Center (MCML), LMU's , statistics department and Bavaria's civil protection. + Our collaboration aimed to develop a web application for identifying optimal water extraction points for firefighting purposes. The project involved integrating statistical mapping, machine learning techniques, and interactive maps. + Additionally, we implemented routing algorithms, containerized the application using Docker, deployed it on AWS, and presented our findings to Germany's federal parliament. +

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Teaching Assistant

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Technical University of Munich

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For TUM's Medicine department ME1660 course, I worked on developing and configuring educational material in Jupyter Lab and participated as a tutor in lectures and workshops, covering topics such as UNIX, quality control, association testing, meta-analysis, polygenic risk scores.

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Technical University of Munich

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+ I developed and configured educational material for TUM's Medicine department's Human Genetics of Complex Traits course (ME 1660-P). + In addition, I served as a tutor in lectures and workshops, where I covered a diverse range of topics including UNIX, quality control, association testing, meta-analysis, and polygenic risk scores. + These roles, helped me facilitate a comprehensive learning experience for students, which later inspired me to pursue a professional certificate in Teaching in Higher Education from TUM ProLehre Media & Didactics. +

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Analytics Intern

Helmholtz Munich

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Implemented my master thesis at the institute of translational genomics, where I developed a quality control pipeline to analyze pre-processed data. The pipeline ensured accuracy during merging, corrected for population structure, imputed missing data, and identified biases.

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Implemented my master thesis at the Institute of Translational Genomics (ITG), where I developed a quality control pipeline to analyze pre-processed data. The pipeline ensured accuracy during merging, corrected for population structure, imputed missing data, and identified biases. + Focused on improving the quality of genome-wide association studies (GWAS) data, I cleaned peripheral whole blood samples from 250 patients across four cohorts undergoing total joint replacement surgery. The project involved merging cohorts from different array versions, necessitating specialized handling of genetic data assumptions. +