Daniel Fridljand

Daniel Fridljand

Software Consultant

TNG technology

Biography

I am a driven software consultant with a strong academic background in mathematics, statistics, and bioinformatics. My passion for machine learning, software development, and statistics has led me to work on projects across diverse domains, including public health, genetics, and oncology. With three years of scientific software development experience and a first-author publication in a high-impact journal, I’m committed to leveraging computational skills to solve real-world challenges.

Download my resumé .

Interests
  • Statistics
  • Machine Learning
  • Software Development
Education
  • Msc in Mathematics, 2023

    University of Heidelberg

  • BSc in Mathematics, 2020

    University of Heidelberg

Experience

 
 
 
 
 
TNG Technology
Software Consultant
December 2024 – Present Munich, Germany
  • Modernization and further development of a supply chain management application in an international development team
  • Service for requesting quotation, bidding, displaying and confirming delivery orders
  • Agile development with a two-week sprint cycle, continuous integration, and regular production releases within the sprint
  • Setup of CI pipelines (Jenkins, SonarQube, Gradle)
  • Enhancement of test automation capabilities
  • Full-stack development with
    • React, TypeScript, Java 8/17, JBoss, Oracle DB, Gradle, JUnit, Docker, Podman, Jenkins, SonarQube
 
 
 
 
 
ETH Zürich
Research Assistant
February 2024 – September 2024 Basel, Switzerland
Researching statistical methods for mutational patterns estimation with tree structures in the lab of Niko Beerenwinkel with focus on data from the Tumor Profiler.
 
 
 
 
 
Stanford University
Research Assistant
July 2023 – November 2023 Palo Alto, USA
  • Analyzed the role of air pollution in the race-ethnicity to premature mortality causal chain, under Pascal Geldsetzer’s guidance, leading to key insights that contribute to policy-shaping discussions.
  • Spearheaded the project with minimal supervision.
  • Devised and implemented a comprehensive statistical analysis in R, synthesized findings from 150 pertinent publications, wrote the initial manuscript and technical supplement, and drove the manuscript from conceptualization to successful publication.
  • * Harmonized geospatial and tabular data on air pollution, mortality, population numbers, and orchestrated analyses of 10 different steps. * Executed major revisions of the manuscript and conducted new analyses, including 15 new figures, within a strict 2-month deadline as part of the 'Revise and Resubmit' response. * Developed an interactive [Shiny web application](https://github.com/FridljDa/ui_pm_attributable) to visualize 17-dimensional data, enhancing collaboration and data interpretation among the research team. * Collaborated with seven Stanford co-authors to systematically gather and integrate critical feedback throughout various project stages, driving a significant enhancement in research quality.
 
 
 
 
 
Yale University
Exchange student
September 2022 – May 2023 New Haven, USA
Chosen as one of two master’s students to represent the University of Heidelberg in a year-long study abroad program at Yale University. Hosted by the Applied Mathematics Program. Advised by Smita Krishnaswamy.
 
 
 
 
 
European Molecular Biology Laboratory
Research Assistant
October 2021 – May 2022 Heidelberg, Germany
  • Developed and implemented a novel statistical method in R under the guidance of Wolfgang Huber and Nikos Ignatiadis to identify outliers in large-scale data sets, enhancing detection capabilities in the presence of high-dimensional side-information.
  • Tripled statistical detection power in a high-dimensional setting by integrating Selective Inference, Machine Learning, and Empirical Bayes approaches.
  • Successfully applied the developed method to genome-wide association study, identifying key genetic markers linked to diseases.
  • Presented research findings at seven scientific events, including a seminar talks at Yale University and University of North Carolina at Chapel Hill and a competitively selected oral contribution at DAGStat 2022, attended by 100 scholars.
  • Conducted the peer review for manuscript at Bioinformatics Advances, contributed the peer review for manuscript at Cell Biology.
 
 
 
 
 
Heidelberg University
Master Student in Mathematics
October 2020 – June 2023 Heidelberg, Germany
  • Final Grade: 1.0
  • Thesis advisor: Dr. Wolfgang Huber (EMBL), Prof. Dr. Jan Johannes
  • Thesis title: Better multiple Testing: Using multivariate co-data for hypotheses
 
 
 
 
 
Hebrew University of Jerusalem
Exchange student
September 2019 – March 2020 Jerusalem, Israel
Graduate-level courses in Functional Analysis, Algebraic Combinatorics, and Quantitative Models at Einstein Institute of Mathematics.
 
 
 
 
 
Heidelberg University
Bachelor Student in Mathematics
October 2017 – September 2020 Heidelberg, Germany
  • Final Grade: 1.4
  • Thesis advisor: Prof. Dr. Jan Johannes
  • Online estimation of the geometric median in Hilbert spaces

Publications

(2024). Disparities in air pollution attributable mortality in the US population by race/ethnicity and sociodemographic factors. Nature Medicine.

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