David Atkins, PhD
Personal Statement
”Can you recommend a good therapist?” Turns out, that is a very challenging question to answer. Whereas some medical fields have reasonable quality indicators (e.g., procedure complication rates, hospital readmissions), with psychotherapy it is very challenging to measure quality.
My research brings together psychotherapy experts with engineers and computer scientists to develop automated methods for evaluating and promoting high-quality counseling and therapy. To do this we rely on speech signal processing and machine learning methodologies and then present it to clinicians and patients using interactive visual summaries.
Education
PhD, Clinical Psychology , University of Washington , 1997-2003
MA, Psychology , Stanford University , 1994-1995
BA, Psychology , Stanford University , 1990-1994
Department Affiliations
Centers/Programs
My work focuses on technology-augmented psychotherapy and behavioral interventions, where we use machine learning and user-centered design to provide fast, objective, performance-based feedback to clinicians to assist training, supervision, and quality monitoring. More generally, I’m interested in data science applications in Psychiatry and assist colleagues in designing studies and analyzing data.
Recent Publications
(2020 Oct 26)
Support Care Cancer
Gremore TM, Brockstein B, Porter LS, Brenner S, Benfield T, Baucom DH, Sher TG, Atkins D
(2020 Mar 17)
J Clin Transl Sci 4(3): 195-200
Kilbourne AM, Jones PL, Atkins D
(2020 Jul)
J Couns Psychol 67(4): 438-448
Goldberg SB, Flemotomos N, Martinez VR, Tanana MJ, Kuo PB, Pace BT, Villatte JL, Georgiou PG, Van Epps J, Imel ZE, Narayanan SS, Atkins DC
(2020 Jun)
Psychother Res 30(5): 591-603
Soma CS, Baucom BRW, Xiao B, Butner JE, Hilpert P, Narayanan S, Atkins DC, Imel ZE
(2020 Mar 16)
Psychother Res
Goldberg SB, Tanana M, Imel ZE, Atkins DC, Hill CE, Anderson T
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