Chenchong Charles Zhu Email & Phone Number

Toronto, Ontario, Canada

Toronto, Canada Area

• Built data products to address novel problems and trends for transportation in Toronto, including:--- Mixed integer programming-based optimizer to estimate the vehicle kilometres travelled from Uber, Lyft and other.
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• Developed analytical pipelines using Python, Postgres, and QGIS. Produced dashboards using Plotly Dash.
• Researched and synthesized practices from transportation engineering and data science in support of projects and strengthen our team's technical capabilities.
• Collaborated with team leads to design the team's code review & documentation, database management, and data governance procedures. Show less

Toronto, Canada Area

• Created SnapAssist (http://github.com/cczhu/snapassist), a web application for photographers to discover and rank shooting locations in Toronto by leveraging data from the Flickr photo-sharing platform.
• Built a Python codebase to data-mine hundreds of thousands of photos from Flickr, clean their metadata with pandas, and perform density-based spatial clustering on them using the OPTICS algorithm in scikit-learn.
• Deployed as a Flask application on Amazon AWS, using Folium to map… Show more
• Deployed as a Flask application on Amazon AWS, using Folium to map photo and cluster geolocations. Show less

Toronto, Canada Area

• Expanded, refactored, and productionized the Baseband Python package (https://github.com/mhvk/baseband) for reading terabytes of raw data from radio telescopes.
• One of two principal developers that contributed to Baseband's first two public releases. Principal author of Baseband's documentation.
• Optimized the code for up to 3x speed improvement in sequential read.
• Wrote maintainable and extensible code in a team-based, test-driven development environment.
• Worked with… Show more
• Worked with end-users to support new data formats, deploy Baseband on individual workstations and supercomputing clusters, and troubleshoot errors. Mentored junior researchers on code development and data ingestion.

Toronto, Canada Area

• Headed an investigation utilizing C-based supercomputer hydrodynamics codes to simulate colliding stars.
• Created a Python codebase using NumPy, SciPy, and Matplotlib to visualize and create summary statistics of hundreds of gigabytes of simulation data.
• Created coupled differential equation model of a star undergoing runaway nuclear fusion using Python. Discovered a critical mass below which fusion is stabilized.
• Published 3 papers in high-impact astrophysical journals – 2 as… Show more
• Published 3 papers in high-impact astrophysical journals – 2 as principal investigator. Presented research at 7 national or international-level conferences. Collaborated with 2 international research teams.
• Twice awarded departmental prizes for outstanding graduate research. Show less

Toronto, Canada Area

• Designed and led lectures and tutorials for groups of 30 – 100, created online lecture series, hosted review sessions and office hours, mentored student term projects, and evaluated assignments and examinations.
• Taught undergraduate-level astronomy courses and the BIG101 – Energy interdisciplinary course on energy use and its social consequences.
• Instructed more than 750 students over 5 years; consistently received excellent evaluations from students and instructors.

Vancouver, Canada Area

• Designed and executed experiments on collisions with ultra-cold atoms. Used NumPy and Excel to analyze data, and Fortran to calculate theoretical collisional cross-sections.
• Contributed to 2 papers published in high-impact physics journal.

Doctor Of Philosophy (Phd), Astronomy And Astrophysics

Activities and Societies: UofT AstroTours (director; volunteer coordinator), universe.utoronto.ca (outreach facilitator), Machine Learning.

Bachelor Of Science (B.Sc.), Physics And Astronomy

Activities and Societies: Student-Directed Seminar (course organizer and leader), Student Leadership Conference (workshop organizer), UBC.