Chloe Chuo Ling

adhwf5@r.postjobfree.com

https://github.com/chloeling3

562-***-****

EDUCATION

Icahn School of Medicine at Mt. Sinai – New York, NY August 2019 – December 2020

- MSc. Biomedical Data Science

University of Southern California – Los Angeles, CA August 2015 – May 2019

- BSc. Biochemistry

Cerritos High School – Cerritos, CA August 2011 – May 2015

- Science Olympiad Team Captain, Mu Alpha Theta Mathematics Honors RESEARCH & INTERNSHIP EXPERIENCE

Mt. Sinai Department of Structural Bioinformatics and Systems Pharmacology August 2019 – Present Masters Student, Dr. Avner Schlessinger New York, NY

- Identified a combination of filter and classification methods for autism risk calculation by leveraging supervised machine learning and feature selection techniques

- Preprocessed and feature engineered dataset with prenatal drug exposure counts presented as anatomical therapeutic codes (ATC) for appropriate model ingestion

- Formalized a graduate dissertation as “Comprehensive analysis of electronic medical records improves prediction and classification of autism spectrum disorder.” JP Morgan Chase Software Engineering Virtual Internship April 2020 –May 2020 Intern New York, NY

- Computed real-time quarterly stock prices using Python and Git and developed a web application to visualize data transformations

University of Genoa/USC Leonard Davis School of Gerontology May 2019 – June 2019 Study Abroad Exchange Student, Dr. Valter Longo Genoa, Italy

- Studied the role of nutrition and genes on the impact of longevity and disease within a rural population

- Expanded personal global perspectives on genetics and cultural attitudes towards aging

- Investigated the social attitudes towards caloric and time-restricted-based behavioral interventions for the prevention of type 2 diabetes

Children’s Hospital of Los Angeles June 2018 – February 2019 Intern, Dr. Randall Wetzel Los Angeles, CA

- Created a clinical computer-based decision tool using EHR time-series data with machine learning to assess extubation timing in the pediatric intensive care unit

- Presented at the 48th National critical Care Congress at the Society of Critical Care Medicine on

“Personalized Predictions of Patient physiologies for successful extubation using artificial neural networks”

- Recorded progress notes in coordination with physicians on current patient intubation and extubation status

- Became familiarized with Python’s Panda’s library to compile data into a usable framework Janssen Pharmaceutical Companies of Johnson and Johnson June 2017 – August 2017 Intern, Dr. Pascal Bonaventure San Diego, CA

- Developed a comprehensive drug screen for pharmacologically active compounds and quantified the neuronal activity of select compounds using multielectrode (MEA) plates

- Formalized and presented the work of “A small-scale screen for synapse-promoting compounds in primary rodent neurons.” at the Annual Janssen’s 2017 Summer Intern Symposium Min Yu Lab, USC Keck School of Medicine September 2016—April 2017 Research Assistant, Dr. Min Yu Los Angeles, CA

- Analyzed target ESR1 gene expression in select circulating tumor breast cancer cell lines using RT-qPCR and further quantified expression levels through Western blotting Teco Diagnostics, Research and Development May 2016—August 2016 Intern Los Angeles, CA

- Performed clinical studies, comprehensive validation testing and participated in multiple 510(k)’s application for an efficient Class II Biomedical device for clinical chemistry

- Familiarized with FDA protocols to advance approval for novel anthropometric medical diagnostic devices

- Determined validity and quality control for multiple chemical reagent testing kits using basic science skills Ruchi Bajpai Lab, USC Center of Craniofacial Molecular Biology June 2015—December 2015 Research Assistant, Dr. Ruchi Bajpai Los Angeles, CA

- Created an epigenetic profile of CHD7 by identifying negative regulators as potential therapeutic targets for CHARGE Syndrome

LEADERSHIP EXPERIENCE

New York Academy of Sciences Summer 2020 – present Scientist-in-Residence New York, NY

- Designed a scientific curriculum for underserved 4th grade students at P.S. 092 Harry T. Steward Sr. School to learn about the scientific methods and the application

- Completed training for educational and leadership development through the Science Alliance Leadership Training in Education Program

Life is Precious Summer 2019 – present

Math and Science Teacher

- Assisted with educational revitalization to at-risk adolescent students in preparation for state-wide examinations

- Integrated individualized teaching methods that have improved student test grades to a passing rate USC Kinetic Social Innovation Incubator August 2016—August 2017 Food Insecurity Team Lead Los Angeles, CA

- Targeted local social problems with an emphasis on food insecurity in Los Angeles County

- Promoted local produce refrigeration programs to increase food availability to various underserved neighborhoods

- Increased student body awareness of the current challenges to food accessibility and preservation USC Office of Orientation Programs January 2017 – August 2017 Orientation Leader Los Angeles, CA

- Facilitated icebreakers and team bonding activities to promote an inviting environment for all attendees

- Presented university safety and security modules to incoming freshmen and families Model United Nations August 2014—May 2015

Student Delegate New York, NY

- Represented the co-delegation of Japan in UN Women and discussed the advocacy of maternal health in the sex industry

- Received appraisal by the UN General Body and was recognized as “Best Delegate”

- Wrote a policy paper for the UN archive library on the current perspectives and policies of Japanese maternal sex industry demographics

- Articulated a resolution paper to address the current shortcomings of our topic and received approval from the UN Committee chair

SKILLS & CLASSWORK

Programming Languages: Python, R, PostgreSQL, pgAdmin 4, HTML/CSS, C++ Coursework: UNIX/Linux Fundamentals, Computer System Architecture, Programming in Python, Algorithm Design and Analysis, Software Engineering, Data Structures, Introduction to Artificial Intelligence and Machine Learning, Probability and Statistics, Linear Algebra, Discrete Math

Libraries: Numpy, Pandas, Keras, Tensorflow, scikit-learn, SciPy, Matplotlib, Networkx Machine Learning and Predictive Modeling: Regression, Support Vector Machines, Naïve Bayes, K-Nearest Neighbors, Decision Trees, Cluster Analysis, Network Analysis, Neural Networks PRESENTATIONS

- C Ling. “Personalized predictions of patient physiologies for successful extubation using artificial neural networks.” Society of Critical Care Medicine, Critical Care Congress. (San Diego, CA, February 2019)

- C Ling. “A small-scale screen for synapse-promoting compounds in primary rodent neurons.” Janssen Pharmaceutical Companies of Johnson and Johnson. (San Diego, CA, August 2018) AWARDS

USC Undergraduate 2018/19 Research Symposium

USC Undergraduate Writing Conference – Commendation USC WiSE Scholar – Woman in Science and Engineering National Young Arts Foundation – Honorable Mention National Model United Nations – Best Delegate

USC Marathon Team – Outstanding Athlete Award

Contact this candidate