Bruce O'Hara

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Bruce O'Hara

Bruce O'Hara

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  • Reviews11
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Oct 14, 2019
N/A
Textbook used: Yes
Would take again: Yes
For Credit: Yes

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0


Mandatory



Difficulty
Clarity
Helpfulness

Average

Professor O'Hara is easily cared the most about his students, more than any of the other BIO302 teachers. He cared a lot about what he was teaching, and even more about the success of his students. While he could get some confused at times, he is helpful when it comes to asking him questions. You really do have to work for the grade, but you can do it if you put in the effort.

Jan 1, 2020
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

0
0


Mandatory



Difficulty
Clarity
Helpfulness

Good

You can tell O'hara is really excited about neuro, and cares a lot about his students. However his unorganized slides can be hard to follow at times, and he often rambles. Most of the exam questions are straight from the practice exam, however the ones that aren't can be tricky. There is some info briefly mentioned in class and not on the slides.

9 Reviews Pending Approval

Biography

University of Kentucky - Biology


Experience

  • University of Kentucky

    Professor of Biology

    Bruce worked at University of Kentucky as a Professor of Biology

  • Stanford University

    Senior Research Scientist

    Center for Sleep and Circadian Neurobiology

  • Gismo Therapeutics Inc.

    Director of Research Operations

    Bruce worked at Gismo Therapeutics Inc. as a Director of Research Operations

  • The National Institute on Drug Abuse (NIDA)

    Staff Fellow

    Bruce worked at The National Institute on Drug Abuse (NIDA) as a Staff Fellow

  • Signal Solutions LLC

    co-founder

    www.sigsoln.com

Education

  • The Johns Hopkins University School of Medicine

    Doctor of Philosophy (PhD)

    Human/Medical Genetics

  • University of California, Santa Cruz

    Bachelor of Arts (B.A.)

    Biology

Publications

  • Noninvasive dissection of mouse sleep using a piezoelectric motion sensor

    Journal of Neuroscience Methods

    A piezoelectric sensor can accurately differentiate sleep from wake and sense breathing in small rodents like mice.In this paper, we clustered piezoelectric signal features into multiple states using a hidden Markov model. It was concluded that sleep states that differed in breathing regularity were strongly correlated with REM/NREM. This technology will permit high-throughput screening of sleep traits for genetic or drug studies.

  • Noninvasive dissection of mouse sleep using a piezoelectric motion sensor

    Journal of Neuroscience Methods

    A piezoelectric sensor can accurately differentiate sleep from wake and sense breathing in small rodents like mice.In this paper, we clustered piezoelectric signal features into multiple states using a hidden Markov model. It was concluded that sleep states that differed in breathing regularity were strongly correlated with REM/NREM. This technology will permit high-throughput screening of sleep traits for genetic or drug studies.

  • see pubmed "o'hara bf" for list of most publications - currently 68

    various

    list of most of my publications on pubmed

  • Noninvasive dissection of mouse sleep using a piezoelectric motion sensor

    Journal of Neuroscience Methods

    A piezoelectric sensor can accurately differentiate sleep from wake and sense breathing in small rodents like mice.In this paper, we clustered piezoelectric signal features into multiple states using a hidden Markov model. It was concluded that sleep states that differed in breathing regularity were strongly correlated with REM/NREM. This technology will permit high-throughput screening of sleep traits for genetic or drug studies.

  • see pubmed "o'hara bf" for list of most publications - currently 68

    various

    list of most of my publications on pubmed

  • Identifying candidate genes for variation in sleep-related quantitative traits

    BMC Bioinformatics

  • Noninvasive dissection of mouse sleep using a piezoelectric motion sensor

    Journal of Neuroscience Methods

    A piezoelectric sensor can accurately differentiate sleep from wake and sense breathing in small rodents like mice.In this paper, we clustered piezoelectric signal features into multiple states using a hidden Markov model. It was concluded that sleep states that differed in breathing regularity were strongly correlated with REM/NREM. This technology will permit high-throughput screening of sleep traits for genetic or drug studies.

  • see pubmed "o'hara bf" for list of most publications - currently 68

    various

    list of most of my publications on pubmed

  • Identifying candidate genes for variation in sleep-related quantitative traits

    BMC Bioinformatics

  • Increased fragmentation of sleep–wake cycles in the 5XFAD mouse model of Alzheimer’s disease

    Neuroscience

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