Morgan Sosa

ad2ixo@r.postjobfree.com 206-***-**** Seattle, WA

Education and Honors

University of Oregon Eugene, OR

Doctorate in Physical Chemistry (PhD) September 2015 – March 2021 Dissertation Title: Modeling the Evolving Mixture of H- and J-Aggregates During Organic Film Formation https://scholarsbank.uoregon.edu/xmlui/handle/1794/26206 Graduate Student Award for Excellence in the Teaching of Chemistry ($1000 Travel Award) June 2016 University of Washington Seattle, WA

Bachelor of Science in Chemistry and Physics September 2012 – June 2015 Professional Experience

Consejo Counseling and Referral Service Renton, WA Data Specialist, Data and Analytics Manager January 2022 – Current

• Provide ad-hoc analytics to the board of directors, utilizing pivot tables, VLOOKUP, and visualizations for funding and growth opportunities.

• Ensure timely data submission and compliance with State and local funding agencies.

• Create analytic dashboards for clinicians and supervisors using Yellowfin BI.

• Oversee Medicaid and grant funding utilization, data quality, and coordinate projects.

• Produce reports for managers, support data and insurance billing team, and attend relevant county Behavioral Health meetings.

Qubit by Quibit Remote

Teaching Assistant June 2021 – July 2022

• Lead weekly remote lab sections for middle and high school students learning about quantum computing and Python, utilizing IMB’s quantum computers and Jupyter notebooks.

• Additionally held weekly homework help sessions to clear up any outstanding questions the students had. University of Oregon Eugene, OR

PhD research June 2016 – June 2021

• Developed spectral metrics that reduced the computational time by over 99% compared to traditional brute force methods. This efficiency enabled the analysis of complex aggregate structures.

• Challenged existing assumptions and provided new insights into the absorption spectrum of pseudoisocyanine (PIC), a well-studied organic semiconductor (OSC).

• The insights derived from this research contribute to the understanding of weak intermolecular forces in OSCs, which greatly impact physical and electronic structures, making them useful in various applications such as optoelectronics.

Publications:

Sosa, M. L.; Wong, C. Y. Revealing the Evolving Mixture of Molecular Aggregates during Organic Film Formation Using Simulations of in Situ Absorbance. J. Chem. Phys. 2020, 153 (21), 214902. https://doi.org/10.1063/5.0020788

Wilson, K. S.; Sosa, M. L.; Scott, M. N.; Wong, C. Y. In Situ Measurement of the Excited State Dynamics of Evolving Materials Systems. In OSA Advanced vii Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED); OSA: Burlingame, California, 2019; p NoT1B.4. https://doi.org/10.1364/NOMA.2019.NoT1B.4 Wilson, K. S.; Wong, C. Y.; Sosa, M. L.; Pandit, R. B. Composition of Molecular Aggregates during Film Formation Revealed Using Simulated Absorption Spectra. In Physical Chemistry of Semiconductor Materials and Interfaces XVII; Bronstein, H. A., Deschler, F., Eds.; SPIE: San Diego, United States, 2018; p 2. https://doi.org/10.1117/12.2322047

Graduate Teaching Fellows Federation Eugene, OR

Vice President of Membership June 2019 – June 2020

• Utilized basis database manipulation skills via Excel to maintain up-to-date records of union membership and provided union stewards with statistics to better connect them with union members and non-members in their academic department.

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Skills

Technical Skills:

Operating Systems

• Windows family, Mac OS X, Linux

Programming Languages

• MATLAB, Python (NumPy, Pandas, Matplotlib, Seaborn), SQL (Strong background), Excel Data Visualization Tools

• MATLAB, Yellowfin BI, Python, Excel

Machine Learning

• Basic understanding of machine learning and large language models. Very interested in learning more about these tools and techniques.

Other Skills and Qualities:

• Scientific Acumen: Solid foundation in physical chemistry, with an understanding of scientific principles that can be applied to carbon footprint analysis and reduction techniques.

• Data Analysis & Visualization: Proven ability in analyzing complex data sets, visualizing findings, and utilizing machine learning to identify opportunities.

• Problem-Solving & Critical Thinking: Excellent analytical and critical thinking skills honed through academic research and professional work in data analytics.

• Collaborative Teamwork: Ability to work cross-functionally with science, product, technology, and customer success teams, fostering collaboration and communication.

• Sustainability Passion & Climate Focus: Keen interest in sustainability with experience in developing and analyzing models related to environmental science, aligning with the mission to solve climate problems.

• Adaptability & Continuous Learning: Commitment to staying up-to-date with the latest trends and technologies in data analysis, machine learning, and carbon measurement. Eagerness to expand into new areas and learn more about relevant fields.

• Project Leadership: Demonstrated leadership in developing and leading workshops and academic courses, reflecting strong organizational and management skills. Projects and Leadership

Computational chemistry workshop – 2020-2021: Developed and lead 6-week computational chemistry workshop using Matlab and Python, designed to introduce undergraduate and graduate students in Chemistry to quantum mechanics and computational modeling.

Lead Teaching Assistant – 2017-2020: Designed and presented teaching materials (Powerpoint, and Excel files, learning outcomes handouts) used by teaching assistants (TAs) in a university level General Chemistry course. Provided statistical analyses of student performance to TAs and course instructors.

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