Zaza Danesh, Phd Email and Phone Number
Zaza Danesh, Phd personal email
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I am a specialized applied mathematician and scientific programmer in life sciences. I enjoy problem solving through algorithm development and data analysis. I have experience in mathematical model development and complex algorithm implementation (coded in C/C++). I have worked extensively with probabilistic models, designed and implemented Monte Carlo simulations. I have experience with molecular dynamics simulation of biomolecules with GROMACS. I have experience with force field development. I have experience in data analysis (synthetic, real and clinical) with implementation of novel analytical method development in Python and R. I have experience deploying statistical/machine learning algorithms for interpretation of biological data (normal and diseased samples), including clustering, support vector machine, regression and matrix factorization. I am comfortable working with packages in Python (numpy, panda, scikit learn, tensorflow, matplotlib and ... ) and in R (tidyverse, dplyr, Seurat, ggplot2, knitr and ... )Overall competence: Mathematical Modelling | Probability Theory | Algorithm Development | Numerical Analysis | Programming | C/C++ | Python | R | Matlab | Data Analysis | Data Visualization | Written and Oral Presentation | Pipeline Development | Machine LearningPersonal Strength:Goal-oriented | Team Work | Fast Learner | Project Management | Time Management | Autonomous | Social | Keeping Deadlines | Organized | CreativeThank you for visiting my page, should you have questions do not hesitate writing to me at zazadana@gmail.com
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Senior Data AnalystOlink Proteomics Aug 2022 - PresentMontreal, Quebec, Canada -
Postdoctoral ResearcherMcgill University Mar 2021 - Aug 2022Montreal, Quebec, Canada• Performing research in pediatric brain tumors, epigenetics and neurogenesis• Developing analytical tools for NGS data interpretation (R/scRNAseq)• Developing machine learning models for NGS data (matrix factorization/clustering/R/git/scRNAseq)• Developing/improving pipeline for NGS data (machine learning/statistical models/R/git)• Handling and analyzing large cohort of developmental human brain samples (NGS data/quality control)• Using high performance computing/scheduler (Slurm/Torque /HPC)• Supervising and mentoring MSc and PhD students ensuring organizational practices• Teaching research methods• Being point of contact for data inquiry• Writing, editing and reviewing scientific pieces/theses• Preparing grant proposal• Supervised a MSc student on machine learning algorithms (classic/non-classic/Python/R)• Supervised a MSc student on reproducibility practices, received a great review -
Bioinformatics ConsultantFondation De L'Hôpital Général Juif - Jewish General Hospital Foundation Sep 2020 - Feb 2021Montreal, Quebec, Canada• Performed research and data analysis in precision medicine/NGS/bulkRNAseq/scRNAseq• Benchmarked ML algorithms for cell type projection (SVM/Random Forest/Neural Network/R/Python/snakemake) -
Software EngineerA23 Lab Ab May 2020 - Sep 2020Uppsala, Uppsala County, Sweden• Designed and streamlined workflows for clinical data management (Visual Basic/Windows)• Supported biologists with clinical data management systems (LIMS)• Supported customers with inquiries on diagnostic result deliveries in timely manner• Facilitated and automated digital communication with public health sector, received great reviews from stakeholders• Managed databases (SQL)• Researched and performed data analysis on qPCR data to detect mutation in SARS-CoV-2
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Researcher Phd CandidateUppsala University Department Of Cell And Molecular Biology 2012 - 2019Uppsala, SwedenDesigned mathematical models of reversible reaction-diffusion systems with stochastic differential equations. Developed stochastic algorithms for an efficient simulation of many-body problem in C/C++. Investigated the effect of macromolecular crowding on diffusive processes and structural properties of proteins at atomistic level with Molecular Dynamics simulations. Designed a computational model of bacterium Escherichia coli in atomistic level for simulation with Molecular Dynamics tool, implemented in Python. Used high performance computing (HPC) on distributed system. Transferred and synced large data sets over computer networks. Practiced versioning codes and documents. Presented the investigations in international conferences and scientific journals. • Mathematical Modelling• Probability Theory• Algorithm Development• Stochastic Simulation• Numerical Analysis• Programming in C/C++, Python and Matlab• Scripting with Matlab, Python, Bash and AWK• Data Analysis• Data Visualization in Matlab and Python• PyMol• LaTex • Presentation application Keynote • HPC• Linux• Git• Brownian Dynamics• Molecular Dynamics• Pipeline development• Collaboration and team work• Project Management -
Teaching AssistantUppsala University Oct 2017 - Dec 2017Uppsala, SwedenTutoring a master's student project. Project Description: Automation of parsing proteins structure and running simulations. Tools used: Python and Molecular Dynamics Simulation (GROMACS)
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Teaching AssistantUppsala University Oct 2015 - Dec 2015Uppsala, SwedenComputational and Systems Biology for two master's students.
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Teaching AssistantUppsala University Sep 2013 - Dec 2013Uppsala, SwedenSingle Variable Calculus for thirty bachelor's students.
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ResearcherNorwegian University Of Science And Technology (Ntnu) Jul 2011 - Aug 2011Trondheim Area, NorwayImplementation of maximum likelihood estimation method in MATLAB to analyze neural signals. -
ResearcherUppsala University Jan 2011 - Jul 2011Uppsala, SwedenDeveloped stochastic simulation algorithm (Monte Carlo) in C to study biochemical reactions representing cellular processes with bi-stability behavior.
Zaza Danesh, Phd Education Details
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Computational Biology
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Applied Mathematics
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Applied Mathematics
Frequently Asked Questions about Zaza Danesh, Phd
What company does Zaza Danesh, Phd work for?
Zaza Danesh, Phd works for Olink Proteomics
What is Zaza Danesh, Phd's role at the current company?
Zaza Danesh, Phd's current role is Data Analyst | Computational Biologist.
What is Zaza Danesh, Phd's email address?
Zaza Danesh, Phd's email address is za****@****ail.com
What schools did Zaza Danesh, Phd attend?
Zaza Danesh, Phd attended Uppsala University, Uppsala University, Shahid Beheshti University.
Who are Zaza Danesh, Phd's colleagues?
Zaza Danesh, Phd's colleagues are Rickard Löwgren, Kristian Hodén, David Harley, Felicia Tjäderborn, Mattias Sjöberg, Benjamin Britsch-Fayet, Oskar Vedung.
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