Cornelia Ilin

I am a Postdoc Fellow and Lecturer at UC Berkeley's School of Information.

Prior to joining UCB, I was a Faculty Associate at UW-Madison.

Email: cilin [at] ischool.berkeley.edu / Office: 102 S Hall / Curriculum Vitae

News

[2021] I am teaching Applied Machine Learning for the MS in Data Science program at UC Berkeley.

[2020] I have been working on deploying ML models at scale lately. These are my notes on how to setup a Spark cluster using Hadoop/HDFS from scratch.

[2019] Excited to teach a new class on Fundamentals of OOP and Data Analytics using Python for the MS in Applied Economics at UW-Madison.

Journal publications

Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales., under review at Advanced Science (2021)
C. Ilin, Sebastien Annan-Phan, Xiao Hui Tai, Shikhar Mehra, S. Hsiang, J. Blumenstock

Competition, Price Dispersion and Capacity Constraints: The Case of the U.S. Corn Seed Industry, European Review of Agricultural Economics (2021).
C. Ilin, G. Shi

Journal publications (in preparation)

The Role of Birth and Contemporaneous Pollution Exposure on Health Outcomes.
C. Ilin, D. Phaneuf, 2019

Air Pollution and Cognitive Health. Evidence from Nairobi, Kenya.
E. Tjernstroem, M. FNO, C. Ilin, A. Weiner-Kaplow, 2019

Adoption vs. Diffusion. The Evolution of Learning: The Case of the U.S. Soybean Seed Industry.
C. Ilin, G. Shi, 2016

Contribution to manuscripts and posters

Longitudinal Matching. A Method for Generating Comparable Samples of Treatment and Treatment-Naive Patients with Progressive Conditions.
K. Cook, O. Ali, D. Gupta, C. Ilin, D. Holmqvist, D. Lee, E. Tuttle, P. Bradt, 2018

Patient Quality of Life and Benefits of Leptin Replacement Therapy (LRT) in Generalized and Partial Lipodystrophy.
study funded by Aegerion Pharmaceuticals Inc., 2018

Effect of Leptin Replacement Therapy (LRT) on Survival and Disease Progression in Generalized and Partial Lipodystrophy.
study funded by Aegerion Pharmaceuticals Inc., 2018

Litigation consulting

Analysis of claims data related to mental health and substance abuse disorders.
Des Roches, et. al v. Blue Shield and Magellan

Analysis of claims data related to emergency department orthopaedic services.
Confidential v. Blue Shield

Design, implementation and analysis of quantitative surveys related to patent infringment.
Confidential v. Google, Confidential v. Apple, Confidential v. FTC

Students

Past Teaching Assistants:

Adam Theising

Past Independent Study MS Students:

Liza Peckham

Past Project Assistants:

Jingyi Tong
Yuxuan Li

Teaching

DATASCI W207: Applied Machine Learning, UC Berkeley: Summer 2020, Fall 2020, Spring 2021

AAE875: Fundamentals of OOP and Data Analytics using Python, UW-Madison: Summer 2019

AAE724: Practicum for Applied Economists, UW-Madison, Fall 2019