Armin Töpfer

Senior Director, Instrument Analysis @PacBio

Gelsenkirchen, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Mar 2024 — Present

Senior Director, Instrument Analysis @PacBio

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Lead the long read analysis team with nine direct reports that develop all on-instrument analysis software- Architect data processing from photon counts to highly accurate long reads- Lead core algorithm ports to CUDA- Add CI/CD to build 100% reproducible and well-tested software- Integrate and productize deep learning solutions using ONNX runtime- Optimize CPU and GPU code to increase throughput and reduce COGS- Spearhead open-source and community software distribution- Plan, orchestrate, and execute cross-team interdisciplinary projects- Point of contact for major collaborations with Nvidia and Google- Clear communication to executive management- Drive architectural decisions and select hardware for on-instrument compute- Ruthlessly slash tech debt.

EDUCATION

2006 — 2009

Bielefeld University

Bachelor of Science (BS), Bioinformatics and Genome Research

2011 — 2014

ETH Zürich

Doctor of Sciences of ETH Zurich, Studies in Viral Quasispecies Reconstruction

2009 — 2011

Bielefeld University

Master of Science (MS), Bioinformatics and Genome Research

SKILLS

Statistical ModelingGitPacific Biosciences454/RocheSequence AnalysisHtmlDna SequencingAlgorithmsRna FoldingSequence AlignmentAlgorithmenIlluminaJava Enterprise EditionSequencingWeb ServicesHivBioinformaticsC++Scientific VisualizationNgsScientific WritingRBioinformatikIllustratorScriptingJavaC++14Virology

ABOUT ARMIN TÖPFER

More about me armintoepfer.com! I\'m an engineer and researcher with a Doctor of Sciences ETH Zürich in computational biology, specialized in statistical modelling and analysis of next/third-generation sequencing technologies. I combine academic curiosity and industry standards to develop bleeding-edge, yet robust and carefully tested, software for every day use. Expert in the field of viral quasispecies reconstruction, who offers experience with laboratory work. Also highly experienced in scientific computing and real-time processing of large data sets with High-Performance Computing Clusters.

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