Engineer Software

**** ** **** ******,

Portland, OR, *****

503-***-**** acxhv3@r.postjobfree.com

Summary

I am a physicist (MS) and biomedical engineer (PhD) with 9 years of experience developing algorithms for the processing and analysis of data in the biomedical research sector. I have developed algorithms to estimate a person’s cognitive and motor performance using data obtained remotely in the home using a variety of measuring technologies; mathematically these algorithms have ranged from the model-based to the use of advanced statistics and machine learning.

Experience

Postdoctoral Researcher, Northeastern University, Boston, MA 10/2014 - 8/2015

I developed algorithms to: (i) estimate a person’s executive function and working memory performance using observed play of a simple computer game based on the "Concentration" or "Memory" card-matching game, and (ii) estimate a person’s metabolic expenditure when executing movements.

Doctoral Student, Oregon Health & Science University, Portland, OR 10/2010 – 9/2014

I developed algorithms to: (i) estimate a person’s executive function performance using observed play of a simple computer game based on the "Trail-Making Test,” a standard neuropsychological test, (ii) estimate a person’s executive function performance using computer mouse movements observed during routine computer usage, (iii) estimate measures of strength and endurance for the performance simple exercises measured using a MS Kinect, and (iv) estimate the trajectories of short movements using triaxial accelerometers and gyroscopes. I developed software to present and record stimuli for neuropsychological studies and to analyze the resulting EEG data.

Research Associate, Oregon Health & Science University, Portland, OR 11/2006 – 9/2010

I developed algorithms to: (i) estimate a person’s walking speed using PIR motion sensors, and (ii) estimate a person’s medication adherence using an instrumented pillbox. I developed software for: (i) a laboratory audio/video acquisition system, (ii) a laboratory demo featuring remote sensing technologies communicating by Bluetooth, (iii) the automated placement of medication reminders in the home, and (iv) laboratory dual-tasking experiments using a GAITRite walkway.

Software Engineer, Applied Materials, Hillsboro, OR 7/2001 -4/2005

Semiconductor capital equipment R&D.

Education

PhD, Biomedical Engineering, Oregon Health & Science University, Portland, OR

MS, Physics, University of Washington, Seattle, WA

BS, Physics & Astronomy, University of Washington, Seattle, WA

BA, Philosophy, University of Washington, Seattle, WA

Skills and Tools

C++, MATLAB, MySQL, Perl, Python, R

References available upon request

Publications

1.Hatt, W.J., Vanbaak, E.A., Jimison, H.B., Hagler, S., Hayes, T.L., Pavel, M., Kaye, J. The exploration & forensic analysis of computer usage data in the elderly. Conf Proc IEEE Eng Med Biol Soc. 2009; 2009: 1216-9.

2.Hayes, T.L., Hagler, S., Austin, D., Kaye, J., Pavel, M. Unobtrusive assessment of walking speed in the home using inexpensive PIR sensors. Conf Proc IEEE Eng Med Biol Soc. 2009; 2009: 7248-51.

3.Pavel, M., Jimison, H., Hayes, T., Larimer, N., Hagler, S., Vimegnon, Y., Leen, T., Ozertem, U. Optimizing medication reminders using a decision-theoretic framework. Stud Health Technol Inform. 2010; 160(Pt 2): 791-5.

4.Hagler, S., Austin, D., Hayes, T.L., Kaye, J., Pavel, M. Unobtrusive and ubiquitous in-home monitoring: A methodology for continuous assessment of gait velocity in elders. IEEE Trans Biomed Eng. 2010; 57(4): 813-20.

5.Hagler, S., Jimison, H., Pavel, M. Unobtrusive in-home assessment by means of everyday computer usage. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011: 3816-9.

6.Kaye, J., Mattek, N., Dodge, H., Buracchio, T., Austin, D., Hagler, S., Pavel, M., Hayes, T. One walk a year to 1000 within a year: Continuous in-home unobtrusive gait assessment of older adults. Gait Posture. 2012; 35(2): 197-202.

7.Hagler, S., Jimison, H., Pavel, M. Assessing executive function using a computer game: Computational modeling of cognitive processes. IEEE J Biomed Health Inform. 2014; 18(4): 1442-52.

8.Hagler, S., Jimison, H., Bajcsy, R., Pavel, M. Quantification of human movement for assessment in automated exercise coaching. Conf Proc IEEE Eng Med Biol Soc. 2014; 2014: 5836-9.

9.Jimison, H.B., Hagler, S., Kurillo, G.., Bajcsy, R., Pavel, M. Remote health coaching for interactive exercise with older adults in a home environment. Conf Proc IEEE Eng Med Biol Soc. 2015; 2015: 5485-8.

10.Hagler, S. On the principled description of human movements. arXiv:1509.06981 [q-bio.QM]. 2015.

11.Seelye, A., Hagler, S., Mattek, N., Howieson, D.B., Wild, K., Dodge, H.H., Kaye, J.A. Computer mouse movement patterns: A potential marker of mild cognitive impairment. Alzheimers Dement (Amst) 2015 Dec; 1(4): 472-480.

12.Hagler, S. Patterns of selection of human movements I: Movement utility, metabolic energy, and normal walking gaits. arXiv:1608.03583 [q-bio.QM]. 2016.

13.Hagler, S. Patterns of selection of human movements II: Movement limits, mechanical energy, and very slow walking gaits. arXiv:1610.00763 [q-bio.QM]. 2016.

14.Hagler, S. Patterns of selection of human movements III: Energy efficiency, mechanical advantage, and walking gait.

15.Pavel, M., Jimison, H., Hagler, S., McKanna, J. Behavioral informatics: Using behavioral measurement to measure cognitive function based on computational models. To be published.

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