Andreana Rosnik, Ph.D. Email & Phone Number

San Francisco, Ca, Us

Due to a medical emergency and the long treatment and recovery plan, I will be taking several months off to rest, receive appropriate treatment, and recover. I will sporadically check LinkedIn and email from October 2024-January 2025, if not longer.

Using data science and predictive modeling, I empower early-stage companies primarily in biotech and materials science to leverage their data effectively, leading to optimized resource allocation, cost savings, and strategic decision-making.My clients include:Reflecting EquityMy responsibilities include: * Cleaning data from multiple input sources and conducting feature engineering for statistical analysis, predictive modeling, and database construction* Creating database schema and establishing relational databases in PostgreSQL * Standardizes survey data for demographics data analysis* Communicates findings via written reports, data visualization, and live code demonstrations* Continues education via Coursera classes in data engineering, deep learning, and Tensorflow development* Maintains code using version control (i.e. git, BitBucket)Previous responsibilities include:* Taking raw sensor data and converting it into a standardized tabular form* Developing anomaly detection algorithms, some of which incorporate signal processing techniques

I create drawings and illustrations, primarily in a style influenced by surrealism, magic realism, and traditional etching.

San Francisco, Ca, Us

As a Climatebase Fellow, I am participating in a career accelerator and community for all kinds of professionals from all over the world who want to invest more of their time and talents in climate action.• Selected as one of ~500 participants from thousands of applicants (15-20% acceptance rate)• Member of special interest groups like Physical Sciences, Technologists, Scientists+Researchers, AI+Climate Change, Artists in Climate• Will spend 12 weeks learning about a wide variety of climate sectors • Hopefully will contribute as a supporting role in a Capstone Project or in Fellow-led activities!

San Francisco, California, Us

* Curates datasets of millions of drug molecules for use in machine learning model training from a variety of public databases, like ChemBL, PDB and PDBBind* Trains molecular binding mode ranking/prediction machine learning models in Python, PyTorch, and proprietary software to improve Atomwise drug discovery pipeline* Trains ML models, creates visualizations, and designs chemically intuitive benchmarks to aid inmodel explainability; gave a presentation on this work at the American Chemical SocietyMeeting in Spring 2022* Customizes virtual high-throughput screening (vHTS) models to improve drug discovery effortson specific protein classes* Key technologies: Python (pandas, matplotlib, seaborn, rdkit), Jupyter notebooks, PyTorch, AWS S3, bash, git/gitlab, vHTS, binding mode prediction, molecular docking

Roma, Italia, It

• I developed a R Shiny web app for battery usage simulation and financial modeling of solar + storage commercial/industrial projects. • I managed a small team in a release-by-feature, test-driven, agile software development framework. We originally worked in a scrum style. • I assisted product management in scoping upcoming features, like updating cashflow calculations and improving demand response event sampling.• Technologies: R (shiny, data.table, testthat, renv, devtools), git, AWS CodeBuild, Docker, bash• Domain knowledge: demand response, energy tariffs, linear optimization, energy markets

Roma, Italia, It

Berkeley, Ca, Us

I worked in the research group of Phillip Geissler, a statistical mechanician at UC-Berkeley. I modeled membrane protein organization in photosynthetic membranes. My work involved: -- developing Ising-like lattice models for minimalistic modeling of thylakoids-- performing Monte Carlo simulations in C++, with post-processing in Python-- determining phase transitions numerically via gradient descent methods (in C++)

Berkeley, Ca, Us

I was a graduate student instructors for Chemistry 120B, the undergraduate physical chemistry course that introduces statistical mechanics and builds on thermodynamics and kinetics.

Berkeley, Ca, Us

I served as one of the two student instructors for Chem 220A, the first semester of statistical mechanics for Chemistry graduate students. The course covered a review of thermodynamics and an introduction to different ensembles, mean field theory, the Ising model and other basic lattice systems, renormalization group theory, rate theory, fluctuation dissipation theorem, molecular dynamics, Langevin dynamics, etc.

Berkeley, Ca, Us

I taught a laboratory section of Chem 4A, general chemistry for College of Chemistry majors. The course covered rudimentary quantum mechanics, thermodynamics, molecular orbital theory, and more general concepts (e.g., acid-base equilibria, basic laboratory techniques).

Boston, Ma, Us

I contributed to a few endeavors to improve the optimization engine for finding optimal energy usage. In particular, I-- established high data fidelity and low data fidelity optimization routines for different calculation needs (Java)-- created visualization tools for displaying KPIs and diagnosing problematic energy costs (Python)-- analyzed potential cost savings for high fidelity regimes. (Python)

At the Universitat de Barcelona I worked in the research group of Carles Curutchet to investigate the effect of using QM/MM dynamics as the base for electronic excited states of and coupling among chlorophylls in water-soluble chlorophyll-binding protein (WSCP). I calculated spectral densities from these calculations. These procedural explorations were done to inspire the pushing the boundary of spectral density calculations in photosynthetic light-harvesting complexes.

Holland, Mi, Us

In the spring of 2012 I graded proof-writing assignments for the introductory proof-writing course in the mathematics department, and in the spring of 2013 I graded for the quantum mechanics physical chemistry course.

Holland, Mi, Us

In affiliation with the Hope College Academic Support Center, I tutored introductory calculus as well as organic chemistry for undergraduate students.

Doctor Of Philosophy (Ph.D.), Physical Chemistry

Bachelor Of Science (B.S.), Chemistry And Mathematics