Jekyll2023-10-06T17:53:24-07:00https://www.keiserlab.org/feed.xmlkeiser lab @ ucsfkeiser lab @ ucsfkeiserlabStatement of solidarity and support for Iranian civilians2022-10-16T00:00:00-07:002022-10-16T00:00:00-07:00https://www.keiserlab.org/dei/iran-protests<p>Widespread protests in Iran have been sparked by the brutal murder of Mahsa Amini by the regime’s “morality” police, for not wearing hijab compliant clothing properly. Since then, Iranian people have carried nationwide protests in condemnation of police brutality, systemic harassment and abuse of women, torture at the hands of security forces and calling for basic human rights. Reports suggest the ongoing crackdown has seen about 180 people killed including children and thousands imprisoned. Students at Sharif university in Tehran, among other universities in Iran, readily joined the movement. Unfortunately, on October 2nd, the protests at Sharif University were met with violent shootings and beatings by security forces who stormed the campuses and imprisoned student demonstrators. This act is in grave violation of human rights and free speech and defies the dignity of academia.</p>
<p>We, at Keiser Lab at the University of California, San Francisco, support the safety of Iranian civilians and university student demonstrators who are fighting for their basic human rights. We stand united with all those who have been affected by the death and torture of Mahsa Amini and are fighting for the civil and political rights of women, LGBTQ+ people, and racial, religious and ethnic minorities under repressive laws, coercion, physical brutality, imprisonment and extrajudicial executions.</p>
<p>We have no doubt that this perilous moment will bring about a better future and meanwhile we continue to support Iranians fighting for their basic rights.</p>
<p>To learn more or get involved directly, please see:</p>
<ul>
<li><a href="https://www.instagram.com/explore/tags/mahsaamini/">Instagram</a></li>
<li><a href="https://twitter.com/search?q=%23mahsaamini&src=typed_query">Twitter</a></li>
<li><a href="https://github.com/WeAreMahsaAmini">Github: Twitter bots and more</a></li>
<li><a href="https://www.signal.org/blog/run-a-proxy/">Help people in Iran reconnect to Signal - a request to our community</a></li>
<li><a href="https://medium.com/@MediumStaff/list/2022-iran-protests-what-were-reading-d5308ef30f82">Medium: 2022 Iran Protests: What We’re Reading</a></li>
</ul>Michael Keiser, PhDkeiser@keiserlab.orgWidespread protests in Iran have been sparked by the brutal murder of Mahsa Amini by the regime’s “morality” police, for not wearing hijab compliant clothing properly. Since then, Iranian people have carried nationwide protests in condemnation of police brutality, systemic harassment and abuse of women, torture at the hands of security forces and calling for basic human rights. Reports suggest the ongoing crackdown has seen about 180 people killed including children and thousands imprisoned. Students at Sharif university in Tehran, among other universities in Iran, readily joined the movement. Unfortunately, on October 2nd, the protests at Sharif University were met with violent shootings and beatings by security forces who stormed the campuses and imprisoned student demonstrators. This act is in grave violation of human rights and free speech and defies the dignity of academia. We, at Keiser Lab at the University of California, San Francisco, support the safety of Iranian civilians and university student demonstrators who are fighting for their basic human rights. We stand united with all those who have been affected by the death and torture of Mahsa Amini and are fighting for the civil and political rights of women, LGBTQ+ people, and racial, religious and ethnic minorities under repressive laws, coercion, physical brutality, imprisonment and extrajudicial executions. We have no doubt that this perilous moment will bring about a better future and meanwhile we continue to support Iranians fighting for their basic rights.Deciphering 3D genome folding using deep learning2022-08-12T00:00:00-07:002022-08-12T00:00:00-07:00https://www.keiserlab.org/news/tweet<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Excited to share our work developing experimental strategies for deep learning models to decipher how DNA sequence informs 3D genome folding! Our study points to understudied links between repetitive elements and chromatin organization. Link: <a href="https://t.co/CtcU7EbjMS">https://t.co/CtcU7EbjMS</a> (1/12) <a href="https://t.co/mUrSSCcZiq">pic.twitter.com/mUrSSCcZiq</a></p>— Laura Gunsalus (@lauragunsalus) <a href="https://twitter.com/lauragunsalus/status/1558109236562759680?ref_src=twsrc%5Etfw">August 12, 2022</a></blockquote>
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<p><br />The embedded thread above (1/12) covers the key results. For details see Laura’s preprint, <a href="https://www.biorxiv.org/content/10.1101/2022.08.11.503410v1">In silico discovery of repetitive elements as key sequence determinants of 3D genome folding</a>.</p>keiserlabExcited to share our work developing experimental strategies for deep learning models to decipher how DNA sequence informs 3D genome folding! Our study points to understudied links between repetitive elements and chromatin organization. Link: https://t.co/CtcU7EbjMS (1/12) pic.twitter.com/mUrSSCcZiq— Laura Gunsalus (@lauragunsalus) August 12, 2022Black Lives Matter2020-08-26T00:00:00-07:002020-08-26T00:00:00-07:00https://www.keiserlab.org/dei/lab-dei-work<p>As a lab we are deeply disturbed by the killings of George Floyd, Breonna Taylor, Ahmaud Arbery, Tony McDade, and many more. Recent events throughout the US underscore the systemic racism that permeates every level of our society, as we have observed through inequality in the criminal justice system, over-policing, and voter suppression.</p>
<p>Within the lab, over the past months we have engaged in a conscientious shift toward normalizing discussions on inequity and race, both as part of regular dedicated meetings as well as in daily conversation. As lab citizens, we are working to educate ourselves on our own biases, become better mentors, and volunteer time to local and scientific communities in an ongoing and long-term way.</p>
<p>We have recently adopted multiple changes to the way the lab functions, as described in our new <a href="/dei">Diversity, Equity, and Inclusion (DEI) section of the site</a>. Additionally, lab members have:</p>
<ol>
<li>Volunteered for outreach programs such as:
<ul>
<li><a href="https://ai4all.ucsf.edu/">AI4All</a>,</li>
<li>the Lowell High School science program,</li>
<li>Impact Oakland, and</li>
<li><a href="https://www.skypeascientist.com/">Skype A Scientist</a>.</li>
</ul>
</li>
<li>Joined graduate program DEI and admissions committees and co-led task forces to identify and break down privilege structures and policies that exclude or marginalize black trainees.</li>
<li>Taken coursework in:
<ul>
<li><a href="https://career.ucsf.edu/events/train-up-course">UCSF TRAIN-UP</a> mentorship,</li>
<li><a href="https://differencesmatter.ucsf.edu/diversity-equity-and-inclusion-champion-training">UCSF DEI Champion</a> training, and</li>
<li>Year-long <a href="https://www.hhmi.org/science-education/programs/gilliam-fellowships-advanced-study">HHMI Gilliam program</a> training.</li>
</ul>
</li>
<li>Participated for several years in the <a href="https://graduate.ucsf.edu/srtp">UCSF Summer Research Training Program (SRTP)</a> and have mentored high school and undergraduate interns in the lab.</li>
</ol>
<p>We recognize however that this is only a start.</p>
<p>Going forward, the new <a href="/dei">DEI section of our website</a> will be a space for lab members to update and document our efforts, and as means to hold ourselves accountable to ourselves and to the public.</p>Michael Keiser, PhDkeiser@keiserlab.orgAs a lab we are deeply disturbed by the killings of George Floyd, Breonna Taylor, Ahmaud Arbery, Tony McDade, and many more. Recent events throughout the US underscore the systemic racism that permeates every level of our society, as we have observed through inequality in the criminal justice system, over-policing, and voter suppression.Kangway named Arnold O. Beckman Postdoctoral Fellow2019-07-31T00:00:00-07:002019-07-31T00:00:00-07:00https://www.keiserlab.org/news/tweet<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Congrats to <a href="https://twitter.com/kangway?ref_src=twsrc%5Etfw">@kangway</a>, who joins the 2019 class of Arnold O. Beckman Postdoctoral Fellows in Chemical Sciences! Thank you <a href="https://twitter.com/BeckmanFnd?ref_src=twsrc%5Etfw">@BeckmanFnd</a> for the game-changing support & recognition of an exceptional scientist. <a href="https://t.co/HIWSCY2HpL">https://t.co/HIWSCY2HpL</a></p>— Keiser Lab (@keiser_lab) <a href="https://twitter.com/keiser_lab/status/1156684967386210304?ref_src=twsrc%5Etfw">July 31, 2019</a></blockquote>
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<p><br />For details, see the <a href="https://www.prweb.com/releases/beckman_foundation_announces_2019_arnold_o_beckman_postdoctoral_fellows/prweb16398138.htm">foundation’s class of 2019 press release</a>.</p>keiserlabCongrats to @kangway, who joins the 2019 class of Arnold O. Beckman Postdoctoral Fellows in Chemical Sciences! Thank you @BeckmanFnd for the game-changing support & recognition of an exceptional scientist. https://t.co/HIWSCY2HpL— Keiser Lab (@keiser_lab) July 31, 2019Artificial Intelligence Could Vastly Scale Up Alzheimer’s Research2019-05-15T00:00:00-07:002019-05-15T00:00:00-07:00https://www.keiserlab.org/news/tweet<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Want to try your own <a href="https://twitter.com/hashtag/DeepLearning?src=hash&ref_src=twsrc%5Etfw">#DeepLearning</a> models for <a href="https://twitter.com/hashtag/AlzheimersDisease?src=hash&ref_src=twsrc%5Etfw">#AlzheimersDisease</a> pathologies? Ziqi Tang's paper, code, AND data are open to everyone - let us know what you discover! <a href="https://t.co/RELEPBL2JF">https://t.co/RELEPBL2JF</a> - This has been a fantastic collab w Prof Dugger <a href="https://twitter.com/ucdavis?ref_src=twsrc%5Etfw">@ucdavis</a>. <a href="https://t.co/6EXgJR9c4E">https://t.co/6EXgJR9c4E</a></p>— Keiser Lab (@keiser_lab) <a href="https://twitter.com/keiser_lab/status/1128739574887399424?ref_src=twsrc%5Etfw">May 15, 2019</a></blockquote>
<script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>keiserlabWant to try your own #DeepLearning models for #AlzheimersDisease pathologies? Ziqi Tang's paper, code, AND data are open to everyone - let us know what you discover! https://t.co/RELEPBL2JF - This has been a fantastic collab w Prof Dugger @ucdavis. https://t.co/6EXgJR9c4E— Keiser Lab (@keiser_lab) May 15, 2019Advanced Topics in #DeepLearning for Biological Sciences (BMI 219)2019-05-11T00:00:00-07:002019-05-11T00:00:00-07:00https://www.keiserlab.org/news/tweet<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">This year's "Advanced Topics in <a href="https://twitter.com/hashtag/DeepLearning?src=hash&ref_src=twsrc%5Etfw">#DeepLearning</a> for Biological Sciences (BMI 219)" course starts Monday morning! Looking forward to Dr. Nobuyuki Ota's third year of cutting-edge <a href="https://twitter.com/hashtag/ML?src=hash&ref_src=twsrc%5Etfw">#ML</a> lectures - <a href="https://twitter.com/hashtag/UCSF?src=hash&ref_src=twsrc%5Etfw">#UCSF</a> <a href="https://t.co/r8sfPU0BGW">https://t.co/r8sfPU0BGW</a> <a href="https://t.co/WzgUVvaYrg">https://t.co/WzgUVvaYrg</a></p>— Keiser Lab (@keiser_lab) <a href="https://twitter.com/keiser_lab/status/1127315695774126080?ref_src=twsrc%5Etfw">May 11, 2019</a></blockquote>
<script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>keiserlabThis year's "Advanced Topics in #DeepLearning for Biological Sciences (BMI 219)" course starts Monday morning! Looking forward to Dr. Nobuyuki Ota's third year of cutting-edge #ML lectures - #UCSF https://t.co/r8sfPU0BGW https://t.co/WzgUVvaYrg— Keiser Lab (@keiser_lab) May 11, 2019Training computers to think more like scientists2019-04-19T00:00:00-07:002019-04-19T00:00:00-07:00https://www.keiserlab.org/news/tweet<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Two School scientists recently showed how to train computers to think more like scientists.<a href="https://twitter.com/hashtag/MachineLearning?src=hash&ref_src=twsrc%5Etfw">#MachineLearning</a><a href="https://twitter.com/keiser_lab?ref_src=twsrc%5Etfw">@keiser_lab</a><a href="https://twitter.com/UCSF?ref_src=twsrc%5Etfw">@UCSF</a> <a href="https://t.co/1Mo46ZPHkl">https://t.co/1Mo46ZPHkl</a> <a href="https://t.co/BGisuI7GH9">pic.twitter.com/BGisuI7GH9</a></p>— UCSF School of Pharmacy (@ucsfpharmacy) <a href="https://twitter.com/ucsfpharmacy/status/1119359307223461888?ref_src=twsrc%5Etfw">April 19, 2019</a></blockquote>
<script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>keiserlabTwo School scientists recently showed how to train computers to think more like scientists. #MachineLearningStudy with John Irwin (UCSF) makes JCIM’s most-read-of-20182019-03-12T00:00:00-07:002019-03-12T00:00:00-07:00https://www.keiserlab.org/news/tweet<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Predicted <a href="https://twitter.com/hashtag/Biological?src=hash&ref_src=twsrc%5Etfw">#Biological</a> Activity of Purchasable <a href="https://twitter.com/hashtag/Chemical?src=hash&ref_src=twsrc%5Etfw">#Chemical</a> Space<a href="https://t.co/Pk8paoyAnt">https://t.co/Pk8paoyAnt</a><a href="https://twitter.com/teaguesterling?ref_src=twsrc%5Etfw">@teaguesterling</a><a href="https://twitter.com/hashtag/Most_read_Year?src=hash&ref_src=twsrc%5Etfw">#Most_read_Year</a> <a href="https://t.co/Lsvh4aw4vy">pic.twitter.com/Lsvh4aw4vy</a></p>— JCIM (@JCIM_ACS) <a href="https://twitter.com/JCIM_ACS/status/1088421202929090566?ref_src=twsrc%5Etfw">January 24, 2019</a></blockquote>
<script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>keiserlabPredicted #Biological Activity of Purchasable #Chemical Space @teaguesterling #Most_read_YearLeo Gendelev takes home the #TitanV poster prize2019-03-11T00:00:00-07:002019-03-11T00:00:00-07:00https://www.keiserlab.org/news/tweet<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Our very own Leo Gendelev takes home the <a href="https://twitter.com/hashtag/TitanV?src=hash&ref_src=twsrc%5Etfw">#TitanV</a> poster prize at today's <a href="https://twitter.com/hashtag/UCSF?src=hash&ref_src=twsrc%5Etfw">#UCSF</a> <a href="https://twitter.com/hashtag/DeepLearning?src=hash&ref_src=twsrc%5Etfw">#DeepLearning</a> in <a href="https://twitter.com/hashtag/Biomedicine?src=hash&ref_src=twsrc%5Etfw">#Biomedicine</a> Symposium (<a href="https://t.co/VEaakeRnQn">https://t.co/VEaakeRnQn</a>)! Big thanks to <a href="https://twitter.com/nvidia?ref_src=twsrc%5Etfw">@nvidia</a> / <a href="https://twitter.com/NvidiaAI?ref_src=twsrc%5Etfw">@NvidiaAI</a> & <a href="https://twitter.com/Google?ref_src=twsrc%5Etfw">@Google</a> for sponsoring an awesome <a href="https://twitter.com/UCSF_BCHSI?ref_src=twsrc%5Etfw">@UCSF_BCHSI</a> event <a href="https://t.co/1Bj3PHH2OX">pic.twitter.com/1Bj3PHH2OX</a></p>— Keiser Lab (@keiser_lab) <a href="https://twitter.com/keiser_lab/status/1105285114458714113?ref_src=twsrc%5Etfw">March 12, 2019</a></blockquote>
<script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>keiserlabOur very own Leo Gendelev takes home the #TitanV poster prize at today's #UCSF #DeepLearning in #Biomedicine Symposium (https://t.co/VEaakeRnQn)! Big thanks to @nvidia / @NvidiaAI & @Google for sponsoring an awesome @UCSF_BCHSI event pic.twitter.com/1Bj3PHH2OX— Keiser Lab (@keiser_lab) March 12, 2019Lab receives CZI Ben Barres Early Career Acceleration Award2018-12-06T00:00:00-08:002018-12-06T00:00:00-08:00https://www.keiserlab.org/news/czi-ben-barres<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Extremely honored to join the <a href="https://twitter.com/hashtag/Neurodegeneration?src=hash&ref_src=twsrc%5Etfw">#Neurodegeneration</a> Challenge Network as a <a href="https://twitter.com/cziscience?ref_src=twsrc%5Etfw">@cziscience</a> Ben Barres Investigator! We're working to decode how promising drug-like molecules battle <a href="https://twitter.com/hashtag/proteinopathies?src=hash&ref_src=twsrc%5Etfw">#proteinopathies</a> using interpretable <a href="https://twitter.com/hashtag/DeepLearning?src=hash&ref_src=twsrc%5Etfw">#DeepLearning</a>. <a href="https://twitter.com/hashtag/XAI?src=hash&ref_src=twsrc%5Etfw">#XAI</a> <a href="https://twitter.com/hashtag/ML?src=hash&ref_src=twsrc%5Etfw">#ML</a> <a href="https://t.co/oyaegfWBx4">https://t.co/oyaegfWBx4</a> <a href="https://t.co/JeT5CsWbVh">https://t.co/JeT5CsWbVh</a></p>— Keiser Lab (@keiser_lab) <a href="https://twitter.com/keiser_lab/status/1070842830611013633?ref_src=twsrc%5Etfw">December 7, 2018</a></blockquote>
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<hr />
<p>For more info, see <a href="https://www.chanzuckerberg.com/newsroom/czi-awards-over-51-million-to-fight-neurodegenerative-disorders-including-alzheimers-and-parkinsons">CZI Press Release</a>, <a href="https://medium.com/@cziscience/a-new-approach-to-solving-neurodegeneration-2aa50654ed04">detailed Medium post</a>, and the full <a href="https://go.chanzuckerberg.com/NCN">Neurodegeneration Challenge Network</a>.</p>keiserlabExtremely honored to join the #Neurodegeneration Challenge Network as a @cziscience Ben Barres Investigator! We're working to decode how promising drug-like molecules battle #proteinopathies using interpretable #DeepLearning. #XAI #ML https://t.co/oyaegfWBx4 https://t.co/JeT5CsWbVh— Keiser Lab (@keiser_lab) December 7, 2018