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Daniel Cresta is listed as Data Scientist based in Canada, Canada, Canada. AeroLeads shows a matched LinkedIn profile for Daniel Cresta.
Daniel Cresta previously worked as Graduate Researcher at Western University and Application Developer at The Fbi Group. Daniel Cresta holds Master Of Science - Ms, Computational Fluid Dynamics And Soft Condensed Matter from Western University.
Daniel Cresta is a Data Scientist.
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London, Ontario, Canada
- Introduced a feature to the Large-scale Atomic/Molecular Massively Parallel Simulator's (LAMMPS) Lattice Boltzmann package that simulates multi-phase (liquid-gas) fluid states written in C++ using MPI libraries for parallelization.- Programmed an algorithm to couple the multi-phase Lattice Boltzmann fluid to molecular dynamics packages, allowing the.
Toronto, Ontario, Canada
University Rover Challenge - Managed an interdisciplinary team of undergraduate science students to develop a fully autonomous life-detection protocol conducted on a Mars rover. - Worked with engineering teams to design, prototype, and deploy an autonomous lab on our rover to collect soil samples, carry out a peptide-detection test, and stream the results.
Toronto, Ontario, Canada
University Rover Challenge - Automated a small-scale data analysis pipeline using Python to identify biomarkers (DNA, RNA, proteins) indicating the presence of microbiota from soil samples. - Developed Robot Operating System (ROS) software in C++ to collect, stream, and process temperature, humidity, lux, and atmospheric pressure data for identifying soil.
Toronto, Ontario, Canada
- Studied systems of differential equations that comprehensively describe the intra- and inter-cellular kinetics of Influenza A infection in vitro.- Discretized these mathematical models for stochastic simulations in Python using a dynamic step-size (Tau-Leaping) algorithm.- Collected, analyzed, and interpreted simulation results to confirm the importance.
Toronto, Ontario, Canada
Employed during the academic year (Sep - Apr) through a work-study program.- Investigated the limitations of the Reed-Munch and Spearman-Kärber methods for calculating the infectious dose 50% (ID50) from endpoint dilution assays.- Studied and helped program alternative methods to calculate the ID50 including using logistic regression and Bayesian-inference.
Toronto, Ontario, Canada
Summer research term funded by NSERC's Undergraduate Student Research Award to continue work on the midSIN project.
Toronto, Ontario
- Conducted statistical analysis on user engagement metrics and found optimal times to push notifications, times to host live events, and where to focus future recruitment efforts.- Worked with the medical team to produce content for the Figure 1 community.- Reached out to healthcare professionals for recruitment and weekly Q&A sessions with the community.
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Daniel Cresta is listed as Data Scientist.
Daniel Cresta is based in Canada, Canada, Canada.
Daniel Cresta has worked for Western University, The Fbi Group, Toronto Metrobotics, Toronto Metropolitan University, and University Of Alberta.
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Daniel Cresta holds Master Of Science - Ms, Computational Fluid Dynamics And Soft Condensed Matter from Western University.
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