Alex Constandache, Ph.D.

Senior Biometrician

B.S. Physics; Ph.D. Physics

Phone: (530) 240-6365

 

Meadow Vista, California

Alex spent the past 17 years working as a physicist, software engineer and data scientist. As a physicist, he worked on nonlinear dynamical systems and wrote computational fluid dynamics software for astrophysical simulations. As a software engineer, he worked on information indexing and retrieval systems (search engines). As a data scientist he developed and deployed analytics pipelines for performing statistical analysis, optimization and forecasting, based on large data sets, in various domains, such as e-commerce, advertising and finance.

His interests lie in the areas of Bayesian inference and Markov chain Monte Carlo methods. He has experience applying such methods to causal inference, synthetic counterfactual analysis, and stochastic optimization and control problems.

Selected Publications

 

Constandache, A., Bari, O., Forecasting a Stock’s Remaining Intraday Volume, 2018 First International Conference on Probabilistic Programming PROBPROG 2018.

 

Ulicny, B., Constandache, A., Cunningham, J., Traub, M., Yu, K., Azeglio, C., Saito-Varadi, M., 2016. Thomson Reuters and the FEIII challenge. Proceedings of the Second International Workshop on Data Science for Macro-Modeling, DSMM@CIKM 2016.

 

Constandache, A., Das, A., Popowicz, Z. 2003 A Benney-like lattice. Czechoslovak journal of physics.

 

Constandache, A., Ashok Das, and F. Toppan. 2002 Lucas polynomials and a standard Lax representation for the polytropic gas dynamics. Letters in Mathematical Physics.

 

Brunelli, J. C., Constandache, A., Das, A. 2002 A Lax equation for the non-linear sigma model. Physics Letters B.

 

Barcelos-Neto, J., Constandache, A., Das A. 2000 Dispersionless fermionic KdV. Physics Letters A.

Apryle Craig, Ph.D.

Biometrician

B.S. BioEngineering; M.S. Ecology; Ph.D. Environmental and Forest Sciences

Phone: (360) 456-4621

 

Issaquah, Washington

Apryle is a quantitative ecologist, with a focus on assessing changes to vegetation and fish communities before and after an impact. Her work focuses on applications of mixed models, machine learning, multivariate analyses, and data visualization to address a wide range of ecological questions. Apryle excels at study design, data collection, and data management, having led field data collection and data analysis teams for multi-year riparian restoration projects at Rocky Mountain National Park, Colorado.  

Kiera McNeely, M.A.S

Biometrician

B.S. Fisheries and Wildlife Sciences; M.A.S. Applied Statistics

Phone: (360) 456-4621

 

West Sacramento, CA

Kiera is a dedicated biometrician with extensive experience in fisheries research, specializing in rockfish growth studies, marine invertebrate diversity, and quantifying migrating salmonids using sonar technology. Her recent work in the Columbia River and the Sandy River Basin involved extensive field data collection for local salmonid populations through creel efforts and spawning ground surveys. The surveys consisted of live salmonid counts, carcass counts plus sampling, and with redd surveys using GPS technology. She also possesses experience with commercial and tribal fisheries sampling, mark-recapture studies, PIT tagging, and sturgeon population studies. With a recent master’s degree in Statistics, Kiera is transitioning her focus to fisheries population dynamics and modeling. She brings experience with mark-recapture studies, stock assessments, multivariate analyses, Bayesian inferences, Markov chain Monte Carlo analysis, and spatial data modeling. Proficient in R and SQL, with knowledge of conducting machine learning models using python, Kiera excels in data analysis and modeling. Additionally, she is skilled in experimental design, data collection, and data management, which are essential for conducting robust statistical analyses on any given project.