### Adjunct Professor

2018 - PRESENTUniversity of Saskatchewan- Collaborated with other researchers in scientific projects that involve mathematical modeling.
- Co-supervised graduate students in areas related to optimization and computer science.

Technologies: Mathematics and Statistics### Data Scientist

2017 - PRESENTGovernment of Saskatchewan- Designed and implemented pipelines to extract specialized datasets out of the administrative database.
- Using government data, analyzed some of the existing practices to find bottlenecks and optimize procedures.
- Employed machine learning to improve upon decisions made based on standard assessments.
- Evaluated feasibility of new policies to achieve certain goals by employing timeseries analysis and forecasting.
- Made local/provincial evaluation of initiatives in correction, justice, and child welfare.

Technologies: Python, SQL### Consultant

2017 - 2018The Centre for Forensic Behavioural Science and Justice Studies- Analyzed the risk assessment tool LSI (Level of Service Inventory).
- Applied machine learning to LSI data in order to obtain personalized preventive interventions for offenders.

Technologies: Python, SPSS, SQL### MITACS Postdoctoral Fellow

2015 - 2017University of Saskatchewan- Organized the Saskatoon Police Predictive Analytics Laboratory.
- Built a mathematical simulation of the missing children phenomenon to identify its deriving factors among youth.
- Researched the optimization and moment problem.

Technologies: Mathematical Modeling, Optimization, Python### Postdoctoral Research Fellow

2013 - 2014Nanyang Technological University- Implemented SDP UI for SAGE/Python.
- Researched polynomial and convex optimization.
- Developed the topological moment problem using functional analysis and real algebraic geometry.

Technologies: Mathematical Modeling, Python/SAGE