Daniel Cresta Email & Phone Number

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 molecular dynamics simulations to correctly interact with density variations in the fluid.- Validated our implementation to LAMMPS by running simulations on remote compute clusters and analyzing the wetting characteristics at the surface of colloidal molecules.

Vaughan, Ontario, Canada

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 to the rover command center wirelessly. - Proved the efficacy of our plans, designs, and methodologies by preparing reports and presentations for competition judges. - Our team ranked 2nd internationally among 30 finalists this year.

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 extraction sites with high probability of microbiota presence. - Helped design a rapid experimental protocol for the isolation and detection of DNA from soil samples. - Prepared documentation, technical reports, and presentations to prove the validity of our work to competition judges.

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 of stochastic effects in predicting the progression of Influenza A infection and its response to therapeutics.- Wrote and presented the thesis to satisfy the requirements of my Honours degree.

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 in Python.- Prototyped the first iteration of the midSIN web application and data analysis using Python's Django framework.- Drafted, revised, and published a paper documenting midSIN's ID50 solving algorithm and validating its accuracy and precision over previous methods.

Toronto, Ontario, Canada

Summer research term funded by NSERC's Undergraduate Student Research Award to continue work on the midSIN project.

Edmonton, Alberta, Canada

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.

Master Of Science - Ms, Computational Fluid Dynamics And Soft Condensed Matter

Bachelor Of Science, Honours (Hbsc), Medical Physics