Golkaram

Director of Bioinformatics Data Science - Sbx Algorithm Development at Roche @Roche

San Diego, CA, US
EMAILS
m••••••••@roche.com
MOBILE NUMBERS
+18•••••••09

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WORK HISTORY

Feb 2025 — Present

Director of Bioinformatics Data Science - Sbx Algorithm Development at Roche @Roche

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San Diego, CA, US

As director and subchapter bioinformatics lead of NGS algorithm development at Roche, I manage a large team of bioinformatics data scientists to lead the development of novel state of the art bioinformatics algorithms for secondary analysis of Sequencing by eXpansion (SBX) genomic data.

EDUCATION

2012 — 2014

Penn State University

Master of Science (M.Sc.), Mechanical Engineering

2005 — 2008

Sadr High School

Diploma, Mathematics & Physics

2008 — 2010

Amirkabir University of Technology - Tehran Polytechnic

Bachelor of Science, Mechanical Engineering

2014 — 2018

UC Santa Barbara

Doctor of Philosophy (Ph.D.), Mechanical Engineering

SKILLS

Cloud Computing (Aws)SimulationBiostatisticsMicrosoft OfficeCloud ComputingWordProblem SolvingMatlabResearchBiochemical EngineeringGithubSimulinkMolecular DynamicsMaterials ScienceSimulationsTeamworkMathematical ModelingFinite Element AnalysisComputational BiologyModelingEnglishPythonEngineeringTeam LeadershipMicrosoft ExcelStatisticsShell ScriptingNumerical AnalysisWindowsBioinformaticsTeachingC++Mechanical EngineeringUbuntuExcelSolidworksRBitbucketLinuxLabview

ABOUT GOLKARAM

As the Director of Bioinformatics and Data Science at Roche, I lead a large team dedicated to advancing next-generation sequencing (NGS) and sequencing by expansion (SBX) technologies with a particular focus on cancer detection, monitoring, therapy selection and the study of germline and genetic diseases. My role combines leadership in bioinformatics with hands-on algorithm development, utilizing machine learning (ML), deep learning (DL), and artificial intelligence (AI) to create innovative computational solutions that improve genomic data analysis. I am committed to leveraging these technologies to drive breakthroughs in precision medicine, enabling more accurate diagnostics, better treatment monitoring, and novel insights into complex genetic conditions.My passion lies in using algorithm development and data science to address critical challenges in cancer and genetic disease research. By applying advanced AI, ML, and DL techniques, I develop scalable solutions that enhance the accuracy and efficiency of detecting and monitoring cancer, as well as identifying genetic markers for inherited conditions. Through collaboration with multidisciplinary teams, I ensure these algorithms are integrated into impactful healthcare applications. At Roche, I am excited to continue pushing the boundaries of bioinformatics, creating innovative tools that drive scientific discovery and ultimately improve patient outcomes across a range of critical health conditions.

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