Bohan Xing Email & Phone Number

Toronto, ON, CA

Toronto, Ontario, Canada

- Examine existing systems, identifying flaws and creating solutions to improve service uptime and time-to-resolve through monitoring and automated remediation- Develop, execute and maintain software and scripts to automate testing for all Alexa Translationsapplications.- Create test tools and automated test suites that are robust, performant and reusable.

Toronto, Canada Area

- Built predictive models on death and confirmed cases of COVID-19 for different countries using scikit-learn and scipy packages, resulting 2 Jupyter Notebook reports with graphics- Communicated results with different stakeholders by visualizing various analytical methods such as descriptive statistics, resulting automation for ETL process for subway.

- Create the Pivot Hub by developing the ETL process and unification method for 3 unique datasets, resulting over 1,000 unique users around the world every month since the launch day- Lead a team of 5 part-time employees in the data collection and validation process, resulting in more accurate datasets with less missing values- Create interactive user.

- Identified the impact of COVID-19 on youth by collaborating with 1000+ people remotely across Canada using Zoom and Slack to conduct quantitative and qualitative research- Improved personal well-being and met project goals effectively by facilitating communication both within the team and between departments virtually- Supported the implementation of.

Toronto, Canada Area

- Taught molecular biology lab techniques to 50 students every semester in a fast-paced environment and received positive feedbacks from anonymous surveys- Managed time for 12 groups of students to complete given tasks before deadlines and achieved 100% task completion rate- Provided constructive and friendly advice for students’ assignments and tests.

Toronto, Canada Area

- Identified the unique roles of 3 distinct neuron types in temporal associative memory by applying supervised machine learning algorithms (SVM and ensemble LDA). The results were published in an academic journal.- Applied repeated measures ANOVA and non-parametric tests (Mann–Whitney U test and Kruskal–Wallis test) to compare between neuron types.

Toronto, Canada Area

I developed computational model containing large neural networks (30,000 randomly connected neurons) from biological facts using PythonThe mathematical model contained two coupled differential equations and stochastic differential equations (Ornstein–Uhlenbeck process). I wrote Bash scripts to use High Performance Computing System (Neuroscience Gateway).

Toronto, Canada Area

I modeled neurons in the spinal cord with conductance based computational neuron models (Morris-Lecar model) connected by bi-exponential excitatory and inhibitory synapses. I used the model to predict the outcome of chloride dysregulation inside neurons. The results matched experimental observations. I presented my results to the public on the.

University Of Toronto

I worked in U of T iGEM team to create alternative method for bio containment. I preformed both wet lab experiments and computational simulations. I am familiar with general wet lab techniques and I am able to write code for mathematical model. For wet labs, I follow strict methodology and safety procedures. I am also able to learn quickly and apply my.

Master Of Science - Ms, Neuroscience

- A pdf version of my MSc thesis can be found in http://hdl.handle.net/1807/96119. - This work was published in the Journal of.

Bachelor'S Degree, Biological And Physical Sciences

Activities and Societies: University of Toronto Japan Association Webmaster- Earned honors degree with high distinction with a 3.74/4.0.